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⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Quantitative Researcher. 👩💻 About The Role: As a Senior Quantitative Researcher, you will play a defining role in shaping the future of the Wholesale team within the Asset Optimization domain. You will be part of a small, dynamic group mastering short-term energy markets such as Intraday Continuous and Day-Ahead. You will be at the heart of a fast-evolving trading environment, where data, algorithms, and market dynamics intersect. Your mission: transform ideas into scalable trading strategies, guide the exploration of data and signals, and ensure that our research translates into profitable, risk-aware execution. This is a hands-on, creative, and technical role. You will lead and collaborate with exceptional colleagues to discover new signals, design trading hypotheses, and turn them into executable models all while setting the direction of our research and backtesting platform. What You’ll Do: Design the next generation of trading strategies: Develop and refine algorithmic trading approaches across wholesale energy markets, balancing profitability with robustness and compliance. Develop LOB-aware strategies: Design and refine trading strategies suited for continuous double auction (limit order book) markets such as Intraday Continuous, optimizing order placement, execution, and liquidity interaction. Lead research and model development: Identify opportunities through data exploration, design models needed to execute trading strategies, and contribute to a culture of rigorous validation and risk evaluation. Engineer research excellence: collaborate with developers to evolve our research platform and backtesting infrastructure, ensuring reproducibility, scalability, and fast iteration from prototype to production. Integrate risk and performance analyses: Embed risk management principles into every stage of model design and evaluation, ensuring our strategies align with our risk and regulatory mandates. Explore and expand data horizons: Investigate new data sources, signals, and market features that can unlock trading opportunities or enhance decision-making. Mentor and elevate the team: Share your expertise with other researchers and developers, and help cultivate a culture of intellectual curiosity, rigor, and collaboration. Work across the stack: Contribute to research, data pipelines, backtesting processes, and model deployment workflows, ensuring your work integrates smoothly into production systems. Who You Are: 8+ years of experience designing, implementing, and validating algorithmic trading models, with proven hands-on experience in the energy sector. Deep understanding of market microstructure, price formation, and execution dynamics, with an ability to translate theory into profitable, risk-conscious strategies. Strong programming skills (Python preferred) and comfortable working across the full research stack, from data engineering to backtesting and model deployment. You enjoy digging into messy datasets, asking the right questions, and validating your assumptions with evidence. Skilled at guiding less experienced colleagues, fostering technical and analytical growth within the team. You value feedback, and take ownership from inception to production. You thrive in an environment that moves fast and evolves constantly, always exploring new data sources, statistical methods, and machine learning techniques to improve performance and adapt to evolving markets. You combine analytical rigor with a proactive, impact-driven mindset, always looking for ways to make your work count. Direct experience in energy trading, especially algorithmic execution in intraday continuous markets, or in developing strategies tailored to the dynamics of energy systems. 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Wholesale & Strategic Analytics, Product Owner and VP of Engineering. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
Your New Role A leading interactive entertainment studio is looking for a Research Manager to join its Brand & Marketing guild. As Research Manager, you will lead the full lifecycle of consumer research quests - from defining the mission objectives to delivering insights that reshape strategy, campaigns, and brand positioning. You will be the owner of the research roadmap, ensuring every initiative is tightly aligned with business priorities and delivers meaningful impact across teams. Working closely with Brand, Marketing, Product, and external partners, you will translate player behavior into strategic intelligence that drives real-world decisions. You’ll be part of a Brand & Marketing team that thrives on curiosity, collaboration, and deep understanding of players. Every project you lead will contribute to shaping experiences enjoyed by millions around the world. Key Responsibilities Lead end-to-end consumer research quests: define objectives, manage external research partners, align stakeholders, and deliver clear, insight-driven reports and presentations Own and evolve the research roadmap in alignment with brand and marketing strategy Deliver actionable insights that inform campaigns, messaging, and strategic decisions across the organization Lead long-term strategic research initiatives such as brand tracking, segmentation, and audience understanding Act as the internal expert on audience segmentation frameworks, ensuring consistent and effective application across teams Turn complex data and findings into narratives that are simple, compelling, and decision-ready Company Presentation Our client is a Swedish computer game company headquartered in Stockholm, known for creating several games loved by millions of players worldwide. With an international team and English as the corporate language, new ideas are turned into immersive and imaginative gaming experiences every day. Here, you’ll have the opportunity to combine creativity, technical skill, and a passion for games to craft experiences that players will remember for years. Good to Know Scope of employment: Full-time, 100% Type of contract: Fixed-term employment as a consultant via JobBusters. Start date: June 2026 End date: 18 month contract. In your application: Please ensure that your CV clearly demonstrates how you meet the qualifications required by the client. To succeed in this role, you will need: Bachelor’s degree in marketing, Business, Social Sciences, or a related field. 5+ years of experience in consumer research, insights, or market research, or equivalent experience. Proven experience leading end-to-end research projects, including vendor management and stakeholder alignment. Strong experience designing and interpreting both quantitative and qualitative research methodologies. Experience in gaming, entertainment, or digital consumer products. Familiarity with tools such as SPSS, Excel, Tableau, or similar analytics platforms. Meritorious: Agency experience. What we Offer Secure employment with a collective bargaining agreement, insurance coverage and occupational pension Wellness allowance and employee discounts and offers via Benifex (e.g., health, leisure, transport and healthcare) Flex pension and access to the Lifeplan pension advisory service Additional compensation during parental leave Occupational health services Long-term assignments and a dedicated Consultant Manager for personal support Opportunities to build valuable experience, expand your network and grow your future career We look forward to receiving your application We review applications on an ongoing basis. As recruitment processes in the consulting industry can move quickly, the position may be filled before the advertised deadline — so we encourage you to apply as soon as possible. You do not need to submit a cover letter. Instead, please respond to the screening questions included in the application process.
We are seeking an ambitious applied researcher who wants to work at the forefront of data-driven nutrition and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in interdisciplinary projects where mathematics, data, and domain expertise meet. Together with the nutrition research group led by Professor Rikard Landberg at Chalmers University of Technology, we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation of the role of diet in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and phenomena, where both methods and interpretation must account for temporal dynamics. Data typically comes from intervention studies conducted in Gothenburg and or from large cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role As an applied researcher in this area, you will: Act as a key person in the collaboration between FCC and the nutrition research group at Chalmers. Lead and conduct research projects in data-driven nutrition, such as:analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Serve as a bridge between domain researchers (nutrition, medicine, food science) and quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who: Holds a PhD in Applied Mathematics, Mathematical Statistics, Automatic Control, Signal Processing, Systems Engineering, Data Science, or a related field. Has experience in data-driven research, preferably related to biomedicine, nutrition, epidemiology, food science, or public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible analysis workflows. Enjoys working in interdisciplinary environments and is curious about understanding biological/nutritional research questions in depth. It is meritorious if you also: Have experience working with cohort data, registry data, clinical studies, or omics data. Have previously worked in projects involving both academic and industrial/external partners. Have experience supervising PhD students, postdocs, or junior researchers. Can communicate in both Swedish and English; excellent English is required. What we offer With us, you will: Have a unique opportunity to combine advanced quantitative and data-driven methods with cutting-edge research in biomedicine, nutrition, and health. Work in a strong and long-term collaboration between Fraunhofer-Chalmers Centre and Chalmers division of Food and Nutrition Science, with access to both international academic and industrial networks. Influence the direction of a strategically important initiative in data-driven nutrition and health. Be part of a creative, collaborative, and international research environment with good opportunities for personal and scientific development. Employer: Fraunhofer-Chalmers Research Centre for Industrial Mathematics (Fraunhofer-Chalmers Centre, FCC) Employment: according to agreement Location: Gothenburg, Sweden Department: Systems and Data Analysis (in close collaboration with Chalmers) Application procedure The application should be written in English and attached as PDF-files, containing as specified below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. - CV - Publication list - Transcript of grades - Personal letter with: A brief description of your research profile and how it relates to nutrition/health A brief motivation as to why you are interested in this position. Please apply no later than 16th August 2026. Evaluation of applications will be done on a continuous basis. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. For questions, please contact: Mats Jirstrand, Head of Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303
Department of Forest Resource Management Would you like to help shape the future of the forest landscape? We are currently looking for a postdoctoral researcher for a two-year position based at the Department of Forest Resource Management at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use the Heureka decision support system to analyse how different forest management strategies affect biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially explicit future scenarios, developed in collaboration with various stakeholder groups, and will include indicators such as biomass production, carbon sequestration, recreational values and wind energy. The postdoctoral position is part of the interdisciplinary research project WindyForests, which brings together researchers from several universities and disciplines with the aim of developing knowledge for the sustainable planning of wind power in forest landscapes. For more information, see: http://www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology, environmental science, systems analysis, mathematics, operations research or a similar discipline, with interest in forests and forestry, and where quantitative modelling and/or optimisation formed a central part of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general and the Heureka system in particular, is an advantage. Great importance is attached to personal qualities such as analytical and problem-solving skills, the ability to work independently and the ability to collaborate. Good written and oral communication skills in English are a requirement. The position is intended for a junior researcher, and we are primarily seeking candidates who obtained their PhD no more than three years ago. In exceptional circumstances, the degree may have been obtained earlier. Exceptional circumstances include leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant to the subject area. About us The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory, National Inventory of the Landscape in Sweden, Terrestrial Habitat Monitoring and the Butterfly and Bumblebee Inventory. In total, we are about 120 employees. More information can be found at https://www.slu.se/en/about-slu/organisation/departments/forest-resource-management/ Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location Umeå Form of employment Temporary employment 24 months, with the possibility of extension. Scope 100% Start date As agreed. Application Please submit your application before deadline 11 August 2026. You can submit your application by clicking the button below. Union representatives https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.
Natural Cycles° is a leading women’s health company that developed the world’s first birth control app, used by millions globally. We are a fast growing startup, and we promote an international working environment filled with smart and ambitious colleagues based in Stockholm, Geneva, New York, and remotely. Our mission is to pioneer women’s health through research and passion, empowering every woman with the knowledge she needs to take charge of her health. We are seeking a User Researcher to join our User Research team and partner directly with our Product teams. In this role, you'll be a key player in shaping our understanding of user behavior and needs across our various product areas. You will be responsible for leading research efforts to inform product strategy and design, helping us create intuitive, valuable experiences for our users. You'll act as a strategic partner to our product teams, helping them uncover the most impactful questions to ask and ensuring our decisions are grounded in user insights. Please note that we are hiring for this role in Sweden. What you will be doing Lead the research: Product team research: Lead, plan, and execute end-to-end research studies across our core product teams, including optimizing the app experience for active users, evaluating hardware wearability, and researching features such as in-app messaging to ensure a supportive user journey Conduct impactful research: Use a mix of qualitative and quantitative methods, including user interviews, usability testing, surveys, and diary studies, to generate actionable insights. You should be proficient in selecting the right method for the right question Partner with the team: Work closely with product managers, designers, engineers, and data analysts across different teams to embed user research into the product development lifecycle. You will help them develop hypotheses and validate product ideas Communicate findings: Synthesize complex research findings into clear, compelling narratives. You will present your insights to stakeholders throughout the organization, acting as a powerful advocate for the user Advocate for user-centered design: Champion user needs and preferences throughout the organization, educating team members on the value of user research Hardware & wearables: Partner with our Devices team to evaluate how users interact with our physical hardware. You will lead studies on the end-to-end experience, device setup, and the long-term ergonomics and wearability of our products What skills and experience we think you have Experience in user research: Minimum of 4 years of experience as a user researcher in a commercial product setting, with a strong portfolio showcasing a variety of research projects and methodologies. A plus is if you’ve worked in related fields, e.g., health-related products/services or medical products Proficiency in research methods & tools: A deep understanding of user research methodologies, including qualitative and quantitative approaches. You should have extensive experience in conducting interviews, usability tests, and surveys, and know when to apply each method. You are comfortable managing research tools such as Maze, and Prolific or UserInterviews for participant recruitment. Experience leveraging analytics platforms (e.g., Mixpanel, Hotjar, or Google Analytics) to triangulate behavioral data with qualitative insights is highly valued. Curiosity about AI in research is a plus Collaboration skills: Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence cross-functional teams Strategic thinking: A desire to go beyond answering simple questions to uncover deeper user needs and business opportunities. You are a natural problem-solver who can frame research in a way that drives strategic decisions Language skills: English on a professional level is key. Fluency in additional languages is a significant plus Hardware & medical device experience: If you have experience in usability testing for medical devices (specifically EN 62366 standards), that’s a significant bonus; if not, a strong curiosity and a willingness to learn our regulatory environment are just as important What we offer Flexible work arrangement - you will be part of a team based around Stockholm that values effective collaboration and transparent communication, irrespective of work location Professional development - you will work alongside knowledgeable colleagues in the continuous growth and skill enhancement environment Modern technology - you will leverage innovative technologies and tools, within an environment that empowers you to contribute ideas and take ownership of your work Impactful projects - you will contribute to groundbreaking projects that redefine industry standards and create tangible value Commitment to quality - you will join a dynamic and progressive organization that prioritizes profitable, long-term product development Location We are remote-friendly, but we find great value in being able to connect with our teams in person. Most of the User Research team you will work with is located in Stockholm. How to apply To apply, just upload your CV and answer the questions on the application form. Keep in mind that we can't accept applications through email because of GDPR, and only applications submitted via the career site (and in English) will be considered. At Natural Cycles we value diversity and inclusion because we know that teams with people from different backgrounds and experiences are stronger. We welcome candidates from all walks of life and are committed to creating an inclusive environment for all employees and candidates. Note: We are not looking for consultants or help from recruitment agencies
About the position The Department of Aquatic Resources has an immediate opening for a permanent position as researcher in stock assessment and advice for fisheries management in a unit that includes stock assessment at the Institute of Marine Research. The unit conducts research and stock assessment on fish and shellfish and provides scientific advice for fisheries at both the national and international level. The work is conducted in close collaboration with other units at the institute and at the wider SLU Aqua, contributing to associated research fields, such as, fisheries monitoring, impacts of climate change, marine food webs and ecosystem-based fisheries management (EBFM). Extensive collaboration with international institutions and organizations (e.g. ICES, International Council for the Exploration of the Seas) is expected and encouraged, as is the application for external research funds. The areas of work for this position will be broad, but primarily include: Analyzing large data sets for input into assessments and biological advice Follow the development and support the transition to next-generation assessment models Performing fish stock assessment Participating to national and international expert groups Contributing to scientific advice for fisheries management Contributing to scientific publications as well as national and international reporting Apply for research funding Teaching, mentoring, internal competence building and outreach Your profile The successful candidate should have strong quantitative skills (i.e., analysis, statistics and modelling), proficiency in the R programming language (of particular value if coupled with TMB), familiarity with version control pipelines, preferably experience in fisheries stock assessment (high consideration is given to experiences with integrated and state-space models, simulations and management strategy evaluations), a good scientific publication record. Experience in marine or fisheries management, especially developing and delivering advice, will also be beneficial. The position requires a PhD in quantitative analysis of biological systems (e.g. statistics, mathematics, modelling, marine biology, fisheries biology or other relevant fields). The ability to work independently, as well as in teams, and to deliver results (reports, analyses, scientific papers) according to deadlines is essential. Good communication skills, and willingness to communicate, both to scientific and public audiences, are important. Fluent oral and written skills in English are required. Knowledge of Swedish will be favorably considered. If you are a non-Swedish speaker, we expect you to try to learn Swedish when you start your position (SLU arranges Swedish courses). Emphasis will be placed on personal qualities such as collaboration skills, analytical and problem-solving abilities, and the capacity for independent work. About us The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Lysekil Form of employment: Indefinite-term employment. SLU may use probationary employment. Scope: 100% Start date: As agreed. Application: Please submit your application before deadline 15 September 2026. You can submit your application by clicking the button below. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.
Department of Management and Organization (DMO), Stockholm School of Economics The Department of Management and Organization at the Stockholm School of Economics invites applications for a tenure-track position at the Assistant Professor level in HRM, leadership, organization behaviour, or organization studies. Your profile We are looking for candidates with a Ph.D. in Business Administration, or a closely related discipline (doctoral degree must be completed before taking up the position). As a candidate, you should have a research background in any of the areas of organization behaviour, leadership studies, organization studies or HRM and have an interest in conducting research that has practical implications for organizations. We especially seek candidates with an international academic background to further enrich DMO’s faculty diversity and international profile. The successful candidate is expected to thrive in an inclusive, methodologically and theoretically pluralist research environment that aims to contribution to both academic knowledge and a better society. Candidates will have demonstrable strengths in both research and teaching. Your qualifications Candidates will have demonstrated the ability to publish in top-tier peer-reviewed international journals, such as AJG (4/4*) and those on the FT50 list. This will be evidenced by publications, research pipeline, and a documented presence in the international research community. In teaching, experience of designing and delivering courses, as well as supervising student projects is considered a merit. Candidates are expected to show independence and an ability to constructively collaborate with colleagues. Teaching (in English) is primarily at Bachelor and Master levels. The teaching load for the position is 20-40% of the working time, typically equating to 2-4 courses per year. Conditions The tenure period is 6-years. In teaching and research, there are ample opportunities to engage in collaboration with the wide network of partner organizations at the Stockholm School of Economics, including ABB, Accenture, Ericsson, H&M, McKinsey & Co, Scania, SEB and many others. The intended starting date for the successful candidate is around August 2027 (open to negotiation). Salaries are set on individual basis. About the Department of Management and Organization (DMO) Faculty at DMO conduct research at the intersection of people, organizations and society. Research is multidisciplinary, applies both qualitative and quantitative methodologies and ranges from positivist to interpretive and critical approaches. A vision uniting the department is that its research should contribute to driving responsible change in business and society. The department has a high-performance research orientation and culture. Faculty members are expected to be committed researchers and to regularly publish in top journals within their respective fields. Our faculty members serve on international editorial boards and hold other roles reflecting their engagement in the international academic community. The department also values teaching and research outreach. Faculty are dedicated to engaged scholarship and student learning and teach a wide range of courses in management, organizational behaviour and organization studies. This translates into the use of real-life cases in teaching, illustrating the strategic ambition of SSE to be a benchmark for societal collaboration. In both research and teaching, faculty members regularly engage with decision makers in organizations and society at large. How to apply: Applications should be submitted through the SSE Varbi online platform (….). To apply, please submit: A cover letter articulating your fit with the position description and the research diversity of DMO, and your research interests Teaching and outreach portfolio A curriculum vitae A separate document listing both published articles (if any) and articles submitted and under review with journals. Copies of representative research. Names and contact information for three persons willing to provide references. To ensure that your application will receive full consideration, please submit your full application by October 1st. Inquiries Please direct any inquiries to: Professor Andreas Werr (head of Department, cell: +46 70 558 97 42, andreas.werr@hhs.se) Professor Emma Bell (emma.bell@hhs.se) Professor Karl Wennberg (karl.wennberg@hhs.se) Professor Laurence Romani (laurence.romani@hhs.se) SSE HR: Ellen Falkenström (ellen.falkenstrom@hhs.se)
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. We are looking for a Python Backend Engineer to play a key role in scaling and improving our transcripts pipelines. If you love engineering robust software, extracting information from text, and thrive in a dynamic, fast-paced environment, we'd love to hear from you! Our transcripts team builds and maintains the pipelines that power one of Quartr's most important data assets: transcripts. Your work will provide the core data foundation that powers essential product features and drives future product development. What you'll do Build scalable systems for transcript ingestion, processing, and enrichment from diverse text sources Optimise backend performance for high-volume, text-heavy workloads and parallel processing Work on text processing and information extraction: entity recognition, metadata enrichment, and semantic structuring of transcripts Collaborate with cross-functional teams to shape features from concept to release, ensuring outstanding user experiences Monitor and troubleshoot data pipelines to ensure smooth operation and timely data delivery Who you are Self-driven, proactive, and confident in taking full ownership of projects A keen interest in NLP, speech-to-text, or large-scale text pipelines is advantageous Comfortable learning new technologies and eager to improve products and processes Balance pragmatism and craftsmanship, knowing when to move quickly and when to build for long-term scalability - even in complex systems with many interdependent components Communicate clearly and effectively, thriving in a high-paced, collaborative environment Based in Sweden with a valid work permit Required skills 3+ years of professional experience building robust backends in Python, preferably for large-scale or data-intensive systems Proven experience developing and maintaining REST APIs using frameworks such as FastAPI, Flask, or Django Familiarity with asynchronous programming and distributed processing Ability to explain code and technical concepts clearly to both technical and non-technical stakeholders Ability to propose durable, simple solutions to complex problems What we offer Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. As a Data Sourcing Controller, you will be part of the Data Sourcing team at Quartr. The team's main function is to ensure that investor relations data and public financial information, such as earnings calls, reports, presentations, and more, are accurately gathered and delivered to our users and clients. What you’ll do Gather and collect earnings data from publicly listed companies. Regularly check and monitor investor relations pages for new updates and relevant data. Support internal and external stakeholders in data-related inquiries. Source additional data types, such as company presentations, earnings reports, and earnings calls, and contribute to expanding our coverage of publicly listed companies. You'll primarily focus on a specific market within our coverage, working as part of a dedicated team responsible for that market. Who you are You have a high attention to detail An ambitious and curious person Responsible and very time-conscious A communicative team player with excellent collaboration skills Interest in finance and/or an academic background is a plus Additional information about the role Full-time role Start date: 1 September 2026 This role can be performed remotely, in a hybrid setup, or from our offices in Stockholm or Gothenburg Please note that this is not a finance analysis, budgeting/accounting, coding, or research role. Note: You need to be based in Sweden with a valid work permit. What we offer Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. Office culture with flexibility: Join us in one of our offices. We value being together, while also offering flexibility to work from home when needed. Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. As a Data Sourcing Controller, you will be part of the Data Sourcing team at Quartr. The team's main function is to ensure that investor relations data and public financial information, such as earnings calls, reports, presentations, and more, are accurately gathered and delivered to our users and clients. What you’ll do Gather and collect earnings data from publicly listed companies. Regularly check and monitor investor relations pages for new updates and relevant data. Support internal and external stakeholders in data-related inquiries. Source additional data types, such as company presentations, earnings reports, and earnings calls, and contribute to expanding our coverage of publicly listed companies. You'll primarily focus on a specific market within our coverage, working as part of a dedicated team responsible for that market. Who you are You have a high attention to detail An ambitious and curious person Responsible and very time-conscious A communicative team player with excellent collaboration skills Interest in finance and/or an academic background is a plus Additional information about the role Full-time role Start date: As soon as possible, or by agreement This role can be performed remotely, in a hybrid setup, or from our offices in Stockholm or Gothenburg Please note that this is not a finance analysis, budgeting/accounting, coding, or research role. Note: You need to be based in Sweden with a valid work permit. What we offer Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. Real ownership: We believe in shared success. Every team member gets equity exposure, so we all benefit from the value we create. Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. Office culture with flexibility: Join us in one of our offices. We value being together, while also offering flexibility to work from home when needed. Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies. About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/ ) hosted at the Swedish University of Agricultural Sciences (SLU) and led by Guillaume Chapron (Docent). It is funded by grants from the Swedish Research Council (VR), the Swedish Foundation for Strategic Environmental Research (Mistra), and the Swedish Research Council for Sustainable Development (FORMAS). Our goal is to build a novel methodology at the intersection of AI, ecology, political science, and complex system analysis that may change how policies are designed and stress-tested and how governments prepare for crises. We are looking for ambitious research engineer to join this effort. Tasks and duties You will be the person who makes the simulations actually run. Concretely, this means: Building the LLM-agent infrastructure (from an existing working implementation). Each agent has a multi-tier memory and an affect state that modifies both prompts and available actions, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents. Extending and maintaining the multi-agent simulation framework. A simulation runs dozens of concurrent LLM instances, communicating through structured message-passing protocols. You will develop and maintain this framework, including the validation methodology. Running large-scale Monte Carlo simulations at scale on GPU-enabled HPC clusters (e.g. NAISS). Publishing and dissemination of the project results. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI. You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) and a postdoctoral researcher in computational social science (to be recruited concurrently). The three of you will form the core team. Your profile Required A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field. A Master or engineering degree is sufficient; a PhD is welcome but not required. Strong programming skills, especially in Python, and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems. Ability to assess and incorporate cutting-edge generative AI developments into the project. Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows. Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure. Desirable Experience with LLMs, including programmatic use through APIs and local deployment. The candidate should be able to select, configure, adapt, and critically evaluate LLMs for research applications. Experience with deep reinforcement learning, agent-based modelling, or multi-agent systems, including the design of simulation environments, interacting agents, decision rules, feedback mechanisms, and scenario-based analyses. Experience with high-performance computing: batch job submission, GPU workflows, and managing large-scale computational experiments. Interest in the application domain: nature conservation, environmental policy, political science, geopolitics and security studies, complex adaptive systems. You do not need a formal background in these fields, but you should find them interesting. Assessment criteria Applications will be assessed on the following: Demonstrated technical ability. We care more about what you have built, than about what courses you have taken. A GitHub portfolio, a deployed system, a well-documented side project, or a track record of solving hard AI problems will carry more weight than a list of credentials. Autonomy and resourcefulness. This is a small team doing frontier work, so the role requires someone who can diagnose problems independently, make pragmatic technical decisions, and keep complex systems running. If that excites rather than worries you, this is the right position. Collaborative disposition. You will work daily with questions from very different disciplines: ecology, political science, geopolitics. The ability to communicate technical constraints and possibilities to non-technical collaborators is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another academic Swedish institution with a core expertise in AI and machine learning. Form of employment: Fixed-term employment 12 months with the possibility of prolongation. Scope: 100%. Start date: As agreed, as soon as possible after recruitment. Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. This is a shortened advertisement. Please refer to the full advertisement on the SLU website for complete information about the position and details on what to include with your application.
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. As a Data Sourcing Controller, you will be part of the Data Sourcing team at Quartr. The team's main function is to ensure that investor relations data and public financial information, such as earnings calls, reports, presentations, and more, are accurately gathered and delivered to our users and clients. WHAT YOU’LL DO * Gather and collect earnings data from publicly listed companies. * Regularly check and monitor investor relations pages for new updates and relevant data. * Support internal and external stakeholders in data-related inquiries. * Source additional data types, such as company presentations, earnings reports, and earnings calls, and contribute to expanding our coverage of publicly listed companies. * You'll primarily focus on a specific market within our coverage, working as part of a dedicated team responsible for that market. WHO YOU ARE * You have a high attention to detail * An ambitious and curious person * Responsible and very time-conscious * A communicative team player with excellent collaboration skills * Interest in finance and/or an academic background is a plus ADDITIONAL INFORMATION ABOUT THE ROLE * Full-time role * Start date: 1 September 2026 * This role can be performed remotely, in a hybrid setup, or from our offices in Stockholm or Gothenburg * Please note that this is not a finance analysis, budgeting/accounting, coding, or research role. Note: You need to be based in Sweden with a valid work permit. Sidenote: we're taking interviews on a regular basis, but the majority will take place after summer — so don't worry if things move slowly over the next couple of months. WHAT WE OFFER * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. ABOUT THE DATA EXTRACTION TEAM Our Document Extraction team turns unstructured financial content into reliable, structured knowledge. We work with financial filings, earnings call slide decks and earnings call transcripts. The goal is not just to pull text off a page, but to understand what a document means, structure it cleanly, and produce knowledge that downstream teams and products can trust. We are looking for a Senior Engineer to own the extraction and structuring pipelines end to end. You will design the systems that ingest messy, real-world documents and output accurate, well-modeled data at scale. This is a hands-on engineering role with deep ownership, suited to someone who is equally comfortable building robust pipelines and reasoning about data quality. WHO YOU ARE * 5+ years of professional experience as a backend engineer with a focus on Python * Hands-on experience with NLP and large language models, including prompting, fine-tuning, or retrieval-based approaches. * Practical experience with document AI, OCR, or information extraction from PDFs and other unstructured formats. * Experience designing data schemas and building pipelines that produce structured, validated output. TECH * Knowledge of ETL processes and data engineering workflows for data ingestion * Solid backend architecture skills for creating scalable and maintainable systems * Experience working with AWS * Proficiency with Docker for managing and deploying backend services WHAT WE OFFER * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Real ownership: We believe in shared success. Every team member gets equity exposure, so we all benefit from the value we create. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden. Note: We are not seeking assistance from consultants or recruitment agencies.
Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. Now, we are looking for a Data Engineer to join our new Data Catalog team and play a key role in building the data backbone that powers Quartr's financial intelligence. You'll own the systems that keep our data consistent, queryable, and discoverable across an evolving landscape of storage and indexing technologies. WHAT YOU'LL DO * Design, build, and operate production database systems with a focus on reliability, performance, and correctness at scale. * Architect and maintain real-time sync pipelines between primary databases and secondary query stores (e.g., search, vector, graph, analytics). * Own schema versioning and distribution. Packaging, publishing, and evolving database and event schemas across teams. * Evaluate and integrate secondary indexing technologies as the needs of our AI-powered products change. * Collaborate with product, data, and infrastructure teams to ensure data is accurate, consistent, and accessible in near real time. WHO YOU ARE * A deep generalist on the data infrastructure side with genuine expertise in how databases behave under real production conditions. * Self-driven and confident, taking full ownership of your work. * Pragmatic but quality-conscious, knowing when to move fast and when to build for the long term. * Based in Sweden with a valid work permit. REQUIRED SKILLS * Hands-on relational database experience: query optimization, schema design, scaling, and operational concerns. Strong SQL experience is also required. * Proven experience syncing databases in near real time, database-to-database or database-to-query-store (e.g., Typesense, Elasticsearch) * Experience with at least one secondary indexing category: search, vector, graph, or analytics. * Cloud infrastructure experience, preferably AWS. A plus, but not required * Experience with CDC and event streaming technologies such as Kafka or NATS. * Familiarity with data catalog or data platform tooling, e.g., Confluent, Databricks, Redpanda, or similar. * Python or TypeScript proficiency. WHAT WE OFFER * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.
Department of Aquatic Resources (SLU Aqua) Climate change is impacting aquatic ecosystems worldwide, creating an urgent need for management strategies that strengthen ecological resilience and support sustainable use of aquatic resources. In this two-year postdoctoral project, you will use quantitative evidence-based syntheses to identify how aquatic management can enhance ecosystem resilience to the impacts of climate change. This position offers opportunities for career development at the interface between ecological research and practical management through scientific publishing, conference participation, and stakeholder engagement. About the position We are looking for a postdoctoral researcher with a strong interest in evidence-based conservation and restoration ecology. The project combines fundamental ecological and evolutionary research with applied management science to address: Which management interventions most effectively increase resilience to climate change in aquatic ecosystems? How do dispersal, ecological interactions and evolutionary adaptation influence the success of climate adaptation measures? How can evidence synthesis be translated into practical decision support for environmental managers? You will apply systematic reviews, meta-analyses and other evidence synthesis methods to answer these questions. The work includes close collaboration with practitioners to ensure scientifically robust and practically relevant guidance for climate adaptation. The project is expected to result in scientific publications while directly informing evidence-based environmental policy and management. We offer a collaborative research environment with strong links between fundamental ecological research and environmental management. The successful candidate will have opportunities to publish in leading international journals, present their work at international conferences, collaborate with practitioners and policy makers to develop an independent research profile. Your profile You must hold a PhD in Biology (ecology/evolution), Environmental science or similar discipline. Systematic reviews, meta-analyses or other relevant evidence-synthesising methods should have formed a central part of your thesis or academic career. Experience of research relevant for environmental management, decision support or governance of aquatic resources, and collaborating with practitioners, especially in coastal and marine areas, is an advantage. Applicants with experience in one or more of the following areas are encouraged to apply: systematic reviews/meta-analysis or other evidence synthesis conservation planning/restoration ecology climate change research and climate adaptation aquatic ecology We are looking for a candidate with excellent analytical and problem-solving skills, who can work both independently and collaboratively and has a demonstrated ability to publish scientific research. Good written and oral communication skills in English are a requirement. We will also place particular emphasis on personal qualities relevant to the position. The position is intended for an early-career researcher. Candidates should have obtained their PhD no more than three years ago from the starting date. Under some circumstances, the degree may have been obtained earlier, which includes leave of absence due to illness, parental leave, positions of trust within unions, service in the armed forces, or other similar circumstances. About us The successful candidate will work closely with a group of ecologists- and evolutionary biologists from SLU and the Swedish Natural History Museum. All researchers in the team work in close collaboration with authorities and managers. The Department of Aquatic Resources (SLU Aqua), hosting the postdoc is an inspiring environment where you can contribute to knowledge for the sustainable use of seas, lakes and watercourses. We combine ecological, biodiversity, and fisheries research with environmental monitoring and assessment, and advice for national and international management. With over 200 employees, we are the largest knowledge hub on aquatic ecosystems and fisheries in Sweden, providing access to associated research infrastructure and research opportunities of high societal relevance. Our head office is in Uppsala (Ultuna), and our three other main locations are Lysekil, Öregrund and Stockholm (Drottningholm)., Read more about SLU Aqua: https://www.slu.se/en/about-slu/organisation/departments/aquatic-resources/ Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months. Scope: 100% Start date: Upon agreement but no later than 1 January 2027. Application: Applicants are welcome to submit their application using the button below, at the latest by the 17th of August 2026. The application should be written in English and contain 1) a cover letter describing your motivation for the position, your skills and qualifications in relation to the advertised profile, and contact details for two reference persons, 2) a CV documenting your academic career and education with a publication list (including submitted manuscripts), and 3) a PhD degree diploma and transcripts of academic records. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.
Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies. About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/). We are looking for an ambitious post-doc to join this effort. Tasks and duties You are the person who makes the simulations meaningful. The technical infrastructure produces outputs in the form of thousands of LLM-generated texts from prompts. Your job is to ensure that these outputs are grounded in real human behavior, real political dynamics, and real institutional logic. Concretely this means: Scenario architecture. Each simulation is defined by a scenario with an initial world state, a cast of agents, communication channels, institutional constraints, document corpora. You will design scenarios focusing on negotiations of nature conservation policies and socio-ecological hybrid warfare. Agent persona construction. For each agent you will define the identity prompt, ideology vector, personality traits, decision mode weights, and the affect parameters that govern when agents escalate beyond their default moderation. This means extracting positions, rhetorical styles, strategic preferences, and psychological profiles from real-world sources. Analysis and validation of simulation outputs. After Monte Carlo runs, you will analyze the distribution of outcomes (e.g. which policies emerge) and will also design behavioural signature validation (e.g. verifying that simulated agents exhibit the expected action distributions when compared against empirical baselines). Publication and dissemination. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI, a space with very few competitors and high visibility. You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/%20) and a research engineer in AI (recruited concurrently). The three of you will form the core team. Your profile Required A PhD in computational social science (or political science, psychology, behavioural economics, evolutionary anthropology or a related field) with strong quantitative skills. The PhD must be completed by the start date. Ability to reflect about strategic behaviour, political dynamics, or social processes in a structured, analytical way, whether through formal models, experiments or quantitative analysis. Willingness to work with AI and LLMs. You should be comfortable working critically with AI-generated outputs, interpreting how LLMs respond to instructions, and contributing to the design, testing, and refinement of prompts. Strong writing skills: clarity, precision, and the ability to communicate across disciplinary boundaries. Desirable Experience with agent-based modelling, game theory, simulation, or experimental methods in the social sciences. Experience with LLMs and their capabilities for simulating human behaviour such as the emerging literature on "silicon samples" and next-generation social simulations. Understanding of institutional design, legislative procedures, or multi-level governance. The simulation enforces procedural constraints, and designing these correctly requires knowing how real institutions actually work. Reading proficiency in Swedish, not required but an advantage. Assessment criteria Applications will be assessed on the following: Intellectual depth and originality. We are looking for someone who has demonstrated the ability to produce genuinely novel ideas, not incremental extensions of existing work. Your PhD thesis, publications, or research statement should show that you think independently and are drawn to hard, underexplored scientific problems. Interdisciplinary range. The ideal candidate is not easily captured by a single disciplinary label. If your work connects political behaviour, psychology, strategic interaction, and computational methods, even in an unconventional way, you are more interesting to us than a narrow specialist with a longer publication list. Fit with the project’s ambition. This is a project that aims to pioneer a new field and we want someone who finds that proposition thrilling rather than risky. Your application should make clear why this project, not just why a postdoc. Because the research area is new, you also need to be able to work in relative isolation. Cross-discipline disposition. You will work daily with questions from very different disciplines: computer science, AI, ecology, political science, geopolitics. The ability to communicate across disciplinary silos is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another Swedish academic institution with a core expertise in computational social science. Form of employment: Fixed-term employment 24 months, with possibility of extension. Scope: 100%. Start date: As agreed, as soon as possible after recruitment. Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. Application requirements are available on the SLU website.
How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help develop the data-driven foresight methods to find out. About us At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and sustainable land use. The position(s) will be based in the Energy Technology and Policy group which develops methods to evaluate the realism of energy and climate futures. About the research project The Energy Technology and Policy group (http://www.entap.net/) is recruiting up to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling of new technologies, both established technologies like solar and wind as well as emerging technologies like hydrogen. The positions will be linked to a number of national projects and embedded in the ENTAP group, with a strong international network and tradition of interdisciplinary collaboration through shared work spaces and a joint seminars. Who we are looking for The following requirements are mandatory: To qualify as a postdoc, you must have a doctoral degree or an equivalent foreign degree in energy studies, environmental science, complex systems studies, economics, public policy, political science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: Experience in developing technology foresight models Experience in policy analysis Experience in publishing in high impact journals is preferred What you will do Develop and apply probabilistic foresight models for policy-driven technologies and explore the meaning of uncertainty in such projections. Analyse the extent to which policy interventions can accelerate technological change. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to up to 20 percent of working hours Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn. What we offer As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ for employees. A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/ Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A comprehensive CV, including a complete list of publications. Details of previous teaching and pedagogical experience. Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's, master's, and if available PhD thesis together with the transcripts. Two publications which you think best represent your work (can be pre-prints) Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than August 14th, 2026 For questions please contact: Professor Jessica Jewell Email: mailto:jewell@chalmers.se We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
We are looking for a postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. About us The candidate will be based at https://www.chalmers.se/en/departments/env/research/frt/ at Chalmers University of Technology in Gothenburg, Sweden. With around 50 staff members, including faculty and Doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies how people, vehicles, infrastructure, digital systems and energy systems interact, with applications in sustainable mobility, electrification, resilience, equity and policy analysis. The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. About the research project The position is connected to the DYnamic populatioNs for resilient And equitable MObility systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent-based modelling, generative sequence models, transport networks, digital twins, resilience indicators and equity-sensitive analysis. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions. The project is carried out in collaboration withthe department of Architecture and Civil Engineering, Danmarks Tekniske Universitet (DTU, Denmark) and Universidad del Desarrollo / ISI Foundation (Chile/Italy), contributing expertise in human mobility modelling, resilience science, and empirical disruption analysis using large-scale mobile phone data from Chile. Who we are looking for The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. The following requirements are mandatory: A doctoral degree in a relevant field, such as complex systems, network science, transport systems, urban science, computational social science, applied mathematics, physics, computer science, geography, urban planning, engineering, data science, resilience studies, or a closely related field. The degree must normally have been awarded before the start of employment. Meritorious educational qualifications: Read more about this at www.chalmers.se Mandatory experiences and skills Documented ability to conduct high-quality independent research. Strong computational, mathematical, or modelling skills relevant to complex mobility systems, including the ability to implement and validate models using empirical or synthetic mobility data. Experience with quantitative modelling, simulation, data analysis or computational methods. Very good ability to write and communicate scientific results in English. Experience with at least one of the following: agent-based modelling, activity-based travel modelling, geospatial data analysis, mobility data analysis, generative modelling, transport simulation, network modelling, or data fusion. Ability to work both independently and in interdisciplinary research teams. The following experience will strengthen your application: Read more about this at www.chalmers.se What you will do The postdoctoral researcher will conduct independent and collaborative research within the project. Depending on the candidate’s profile, the work may include: Developing computational and conceptually grounded frameworks for resilient and equitable mobility systems. Advancing agent-based, network-based or complex systems models of mobility under disruption. Contributing to the design of dynamic synthetic populations and behaviourally plausible mobility agents. Modelling how individuals, groups and networks adapt to disruptions, including sudden events and forewarned hazards. Developing or testing indicators for robustness, recovery, vulnerability, accessibility loss and equity impacts. Working with large-scale mobility, transport network, census, land-use or other urban data. Contributing to open, reproducible research workflows, model documentation and scientific publications. Collaborating with researchers in mobility data science, urban analytics, human mobility, resilience, digital twins and policy analysis. Helping connect the project’s empirical, computational, and theoretical components, and mentoring junior researchers or students where appropriate. Implementing and validating models related to dynamic synthetic populations, activity-based mobility patterns, disruption response, and resilience or equity indicators. Contract terms Read more at www.chalmers.se What we offer Read more about what we offer at www.chalmers.se Application procedure Read more about this and apply at www.chalmers.se We welcome your application no later than 2026-08-11 Shortlisting is planned for late August, with first interviews expected around 1 September. For questions please contact: Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: sonia.yeh@chalmers.se, 031-772-67 16 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
About Norvion Systems AB Norvion Systems AB, headquartered in Gothenburg, Sweden, is an innovative engineering company delivering advanced AI, robotics, embedded systems, and automotive engineering solutions across the Nordic region and Europe. We work closely with leading industrial partners to support the development and deployment of next-generation technologies. Our engineering teams combine deep industry experience with a practical Nordic engineering culture focused on innovation, quality, and real-world impact. To support one of our partners in Gothenburg, we are looking for an experienced User Researcher to join a long-term consulting assignment focused on understanding user behaviour and improving digital product experiences. If you have experience in user research, usability testing, qualitative and quantitative analysis, and translating research insights into product decisions, we would love to hear from you. About the Assignment As a User Researcher, you will play an important role in understanding user needs, behaviours, and experiences. You will plan and conduct research activities, analyze findings, and collaborate with cross-functional teams to support product development decisions. You will work closely with stakeholders to transform user insights into actionable recommendations and contribute to the improvement of digital products and user experiences. Key Responsibilities Plan and conduct user studies, interviews, surveys, and field research Perform qualitative and quantitative research and translate findings into actionable insights Conduct usability testing, diary studies, and consumer research Analyze research results and communicate insights to cross-functional stakeholders Present research findings and recommendations to support product decisions Leverage AI-powered research tools to improve research efficiency We Are Looking For We are looking for a User Researcher with strong experience in understanding user behaviour and supporting product development through research-driven insights. You should have: 5+ years of experience in User Research Strong experience in qualitative and quantitative research methods Hands-on experience with: Surveys Interviews Usability testing Diary studies Field research Excellent communication and stakeholder management skills Native Swedish and fluent English communication skills Valid Swedish B driving licence Advantageous Experience The following experience will be considered a strong advantage: Automotive experience or product development experience Behavioural or consumer data analysis Power BI Assignment Details 📍 Location: Gothenburg, Sweden (On-site) 📅 Start Date: September 2026 🏢 Assignment Type: Long-term consulting assignment Why Join Norvion? Engineering Beyond Boundaries At Norvion, engineers and specialists work on real industrial challenges involving advanced technologies, AI, robotics, and digital solutions. Work With Experienced Professionals Join a team with strong European engineering experience and collaborate with experts from leading technology companies and industrial organizations. Nordic Engineering Culture We believe in: Flat communication Technical excellence Individual ownership Continuous learning Sustainable work-life balance Interested? Please send your English CV to: 📧 hr@norviontech.com
Södertörn University welcomes doctoral proposals in History, to be conducted within the research project: “Money(-)making empire. Monetary policies and practices in the Swedish Baltic Empire, ca. 1600–1800”. Visit the project website for more information https://moneymakingempire.se/. The project “Money(-)making Empire” examines monetary evolution in the Baltic Sea region within the broader context of early modern Northern Europe, using the Swedish Empire as a case study. Conceptualising the empire as a polycentric polity, the project challenges nation-state–centred historiography and instead analyses money as a transregional lens through which flows of power, conflict, and integration can be traced across imperial spaces. Monetary policy was central to both warfare and empire-building and its effects extended far beyond Sweden proper, influencing peasants, soldiers, merchants, urban authorities, and foreign rulers across the Baltic Sea Region. For more information, please https://ostersjostiftelsen.se/project/money-making-empire-monetary-policies-and-practices-in-the-swedish-baltic-empire-ca-1600-1800/. History at Södertörn University is a dynamic environment for historical research and education, with researchers who specialise in a variety of time periods and societal or cultural processes. Sweden, the Nordics, and the Baltic Sea region and Eastern Europe are the main geographical areas of expertise. For more information, please https://www.sh.se/english/sodertorn-university/research/subjects/history. For a Swedish version https://www.sh.se/institutioner--amnen/institutionen-for-historia-och-samtidsstudier/historia The Department of History is part of the Historical Studies research area at Södertörn University, an area of the humanities in which aspects of society, culture and heritage are studied from different perspectives. For more information, please https://www.sh.se/english/sodertorn-university/research/doctoral-level-education/historical-studies. For a Swedish version https://www.sh.se/forskning/forskarutbildning/forskarutbildningsomraden/historiska-studier. Description of the doctoral position The successful applicants will complete their doctoral theses as part of the project and within its thematic and theoretical framework. These doctoral projects may adopt a range of perspectives, such as analyses of monetary practices and discourses among and/or between different social groups (such as the nobility, merchants, peasants, and burghers), as well as political and administrative discourses, policies, and practices at the imperial, national, and/or local levels. We therefore welcome applications that encompass the full spectrum of approaches, from macro- to micro-level studies of social and cultural relations and practices, provided that they align with the project’s aims. The project advances three interrelated analytical perspectives. First, it emphasises the polycentric nature of the Swedish Empire, integrating its Baltic and German provinces into a single framework and showing how power was negotiated through multiple institutional and social centres. Second, it treats money not merely as an economic instrument but as a practical and socially embedded problem, foregrounding everyday monetary practices, coin shortages, and alternative means of exchange among ordinary people. Third, it focuses on circulation, examining how money, knowledge, and practices moved across regions and how popular reactions – petitions, protests and riots – both responded to and constrained state policy. Methodologically, the project combines quantitative analysis with qualitative readings. Beyond its historical contribution, the project offers comparative insights into early modern composite states and provides a historically grounded perspective on contemporary monetary integration and tension in the Baltic Sea region and Europe more broadly. The work environment at Södertörn University, as well as within the research project, is bilingual, with both Swedish and English as working languages. Entry requirements The general entry requirements are: 1. a second-cycle qualification, or 2. fulfilled requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle, or 3. substantially equivalent knowledge acquired in some other way in Sweden or abroad. The Faculty Board may permit an exemption from the general entry requirements for an individual applicant, if there are special grounds. (Ordinance 2010:1064) Specific entry requirements The specific entry requirements are met by someone who has at least 90 credits in History, Economic History, the History of Ideas or the equivalent and who has authored an independent dissertation in History worth at least 15 credits at Master’s level. Prerequisites for undertaking the degree programme are the ability to assimilate scientific work in English and command of the language necessary for work on the thesis. Eligible applicants will first be ranked according to their ability to assimilate education at research level, then other qualifications will be reviewed on the basis of this ranking. The applicant’s communication and cooperation skills may also be assessed using references and interviews Admission and employment This position includes admission to third-cycle education, i.e. research level, and employment on a doctoral studentship at the School of Historical and Contemporary Studies at Södertörn University. The intended outcome for admitted students is a PhD. The programme covers 240 credits, which is the equivalent of four years of full-time study. The position may be extended by a maximum of one year due to the inclusion of departmental duties, i.e. education, research and/or administration (equivalent to no more than 20% of full-time). Other grounds for extension could be leave of absence because of illness or for service in the defence forces, an elected position in a trade union/student organisation, or parental leave. Provisions relating to employment on a doctoral studentship are in the Higher Education Ordinance, Chapter 5, Sections 1-7. Date of employment: 1 January 2027 Please visit our website for more information about the application procedure Vacant positions | Södertörn University Application deadline: 9 August 2026 at 23:59
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