Sökresultat för "Quantitative Analysis"

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

Role Summary The Senior Strategy Consultant plays a senior, hands-on role in delivering high-quality client work and building long-term client relationships. The role contributes across futures, strategy, and innovation engagements, helping clients identify, shape, and unlock growth opportunities. The Senior Strategy Consultant combines consumer insight, commercial understanding, and strategic thinking to develop clear, practical recommendations. The role requires confidence working with senior stakeholders, comfort operating at pace and with ambiguity, and a willingness to take direct responsibility for the analysis, development, and delivery of consulting work. Key Responsibilities • Work directly with clients to identify, shape, and unlock growth opportunities. • Contribute across futures, strategy, and innovation engagements, from initial opportunity framing through to actionable recommendations. • Connect consumer insight, commercial reality, and strategic direction to develop practical growth strategies. • Lead and take ownership of defined client workstreams and project deliverables. • Work confidently with senior client stakeholders and build trusted, long-term relationships. • Conduct hands-on qualitative and quantitative analysis and translate findings into clear, commercially grounded recommendations. • Develop high-quality client materials, including Excel analysis, workshop and session designs, and PowerPoint presentations. • Plan, design, and facilitate client workshops, interviews, and working sessions. • Operate effectively in fast-paced, hypothesis-led projects, often with imperfect information or evolving briefs. • Manage priorities and deliver work to agreed timelines and quality standards. • Collaborate with colleagues and external specialists to deliver integrated client work. • Contribute to the continued development of consulting methods, tools, capabilities, and ways of working. • Explore how AI and other emerging tools can enhance strategy, innovation, analysis, and client delivery.

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 Aquatic Sciences and Assessment Third-cycle subject area Environmental assessment, specialising in environmental chemistry. Description of the doctoral project     This doctoral project aims to improve the understanding of contaminants of emerging concern in food chains by using bioaccumulation and trophic transfer as a strategy for chemical prioritisation. The project will investigate how contaminants move from environmental sources into organisms and through food chains, and how these processes can be used to identify substances of relevance for ecosystems and One Health. The project will focus on one or more selected food-chain systems, depending on sample availability, collaborations and scientific relevance. The project includes i) selecting relevant food-chain systems, biological matrices and contaminants of emerging concern based on occurrence data, chemical properties, bioaccumulation potential and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously unknown substances in selected biological matrices; iii) assessing bioaccumulation, biomagnification and trophic transfer patterns where suitable data and samples are available; iv) using environmental specimen bank samples, where available, to investigate time trends and support retrospective screening; and v) connecting measured chemical patterns to possible environmental sources. You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of contaminants of emerging concern in food chains, with a particular focus on bioaccumulation, trophic transfer and advanced chemical screening. To achieve this aim, you will develop and apply analytical workflows for the detection and identification of known and previously unknown compounds in complex biological matrices, including sample preparation, extraction and clean-up strategies. The project will also include semi-quantitative analysis of detected compounds and the assessment of bioaccumulation, biomagnification and trophic transfer patterns in selected food-chain systems. Where suitable samples are available, environmental specimen bank material may be used to investigate time trends and support retrospective screening. The duties also include preparation of biological and environmental samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, interpretation of chemical patterns in relation to environmental sources, collaboration with national and international partners, and scientific manuscript writing in English. Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification, satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in environmental assessment, specialising in environmental chemistry. To meet the specific entry requirements, you must have knowledge of aquatic ecology, aquatic biogeochemistry, statistics or ecotoxicology. The undergraduate degree must include a degree project.  You must also meet the equivalent English language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Applicants shall hold an MSc in analytical chemistry, environmental chemistry, chemistry, ecotoxicology, environmental science, food science or equivalent. Specialisation in chemical analysis of organic contaminants and experience with LC-MS, LC-HRMS, GC-MS or other advanced mass spectrometry techniques are valuable merits. Experience with suspect and non-target screening workflows is highly desirable. Previous experience with chemical analytical laboratory work, particularly involving complex biological, food, biota, soil or sediment matrices, is advantageous. Knowledge of contaminants of emerging concern, bioaccumulation, biomagnification, trophic transfer or time-trend analysis is considered a merit. Data processing skills using statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal characteristics such as strong interpersonal skills, analytical and problem-solving abilities, accuracy, motivation, and the capacity to work independently as well as in collaboration with others. Read more here: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/doktorand3/   Form of employment / FundingEmployment as a doctoral student (4-year programme). Doctoral student’s salaries are set following the local collective agreement. Salary progression is fixed. Location:Uppsala Scope:100% Start date:Upon agreement. Application and selection:Please submit your application using the link below. The deadline is 28 August 2026.   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.

"We are looking for a Laboratory Engineer who thrives on understanding why materials behave the way they do. Someone who enjoys getting hands-on in the lab, developing methods, solving technical challenges and turning microstructural observations into insights that support innovation, production and customer success. This is an opportunity to take ownership of a laboratory that is central to our future development and help unlock its full potential." – Tania Loaiza, R&D Manager Help shape the future of specialty steel At Ovako, we combine more than 300 years of industrial expertise with modern technology and a strong commitment to sustainability. As a leading European producer of specialty steel, we continuously develop products and processes that meet future demands for performance, quality and reduced climate impact. Research and development play a vital role in this journey. Through advanced materials characterisation, testing and metallurgical expertise, we generate knowledge that strengthens both our products and manufacturing processes. We are now looking for a Laboratory Engineer who wants to build deep expertise in materials characterisation while helping shape the future of specialty steel. This is a role for someone who enjoys combining practical laboratory work with advanced technical analysis and is motivated by creating long-term value through scientific knowledge and continuous improvement. The role As a Laboratory Engineer within Ovako's R&D organisation, you will take dedicated ownership of our materials laboratory and play a key role in ensuring it delivers maximum value to the business. Acting as the technical focal point for materials characterisation, testing and failure analysis, you will collaborate closely with researchers, production teams, customers and external partners. The role combines hands-on laboratory work with technical analysis, method development and continuous improvement, giving you considerable freedom to plan, prioritise and drive your own work. Your work will contribute directly to R&D projects, production-related investigations and customer assignments, generating knowledge that supports both today's operations and tomorrow's product development. Responsibilities Operating, maintaining and calibrating laboratory equipment to ensure high reliability and readiness Performing materials characterisation and testing of steels and other metallic materials Preparing metallographic samples, conducting optical microscopy and performing image analysis Working with scanning electron microscopy (SEM) and hardness testing Conducting failure analysis and root cause investigations Developing, validating and documenting test methods to ensure reproducibility and traceability Explaining technical findings clearly to internal stakeholders and international customers Support university collaboration, including supervision of students Contributing to a deeper understanding of structure–property relationships in steels Identifying opportunities to further develop laboratory methods, analytical capabilities and ways of working  Your profile You're a proactive and hands-on engineer with genuine technical depth and a passion for materials engineering. You enjoy combining careful experimentation with practical problem-solving and take pride in producing reliable results that others can build upon. You work independently and drive activities forward with confidence.  To succeed in this role, we believe you have: A Bachelor's degree or higher in Materials Engineering, Metallurgy or a related field At least three years of practical laboratory experience Experience in developing and validating test methods Experience in equipment maintenance, calibration and laboratory operation Strong metallography knowledge, including sectioning, mounting, polishing, etching and quantitative analysis such as grain size and retained austenite measurements Hands-on experience with optical microscopy, image analysis and scanning electron microscopy (SEM) Strong communication skills and the ability to explain technical results to different audiences Good command of English, both written and spoken  Meritorious Fatigue testing Non metallic inclusion investigation Heat-treatment fundamentals Alloy development and new steel grades Understanding how composition and processing influence material properties Who are you? We believe you are the kind of engineer who naturally takes ownership and enjoys building deep technical expertise over time. You are curious and analytical, motivated by understanding how materials, processes and microstructures interact to influence performance. While you enjoy working hands-on in the laboratory, you also appreciate the bigger picture and understand how robust methods, reliable data and technical knowledge create long-term value for the business. We believe you are: Proactive and self-driven Analytical, structured and quality-conscious Hands-on with a practical approach to problem-solving Communicative, collaborative and able to build strong relationships Motivated by continuous improvement and long-term technical development  Location: Hofors, Sweden, on site. Ovako offers a relocation package.  Application and information This recruitment is managed by AxÖ Consulting. For questions regarding the position or the recruitment process, please contact: Fiddelie Nyvall: fiddelie.nyvall@axoconsulting.se  Linda Axäng: linda.axang@axoconsulting.se Please note: As this recruitment takes place during the summer holiday period, response times may be longer than usual. We appreciate your patience and will get back to all candidates as soon as possible. Background checks may be conducted as part of the recruitment process.

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

Are you a sharp analytical thinker who thrives on navigating complexities in large-scale projects? We are looking for a proactive and experienced Project Risk & Opportunity (ROP) Manager to join our team. In this vital role, you will be the driving force behind identifying, analyzing, and monitoring risks, opportunities, and threats throughout the entire lifecycle of our projects. You will ensure that cutting-edge risk management strategies are seamlessly integrated into our project planning, execution, and reporting processes, helping us safeguard project delivery and maximize opportunities. Key Responsibilities Lead the identification, assessment, and monitoring of project risks, opportunities, and threats (ROP). Integrate quantitative and qualitative risk management strategies into project schedules, budgets, and execution plans. Conduct Quantitative Risk Analysis (QRA) to model potential project outcomes. Develop and maintain risk registers and provide clear, data-driven insights and reports to stakeholders and management. Collaborate closely with project managers and engineering teams to mitigate threats and capitalize on opportunities. Requirements and Skills Education: Bachelor’s degree in Engineering, Project Management, Business, or a related field. Experience: Minimum 5 years of proven experience in project risk management or similar roles within complex project environments. Standards: Strong familiarity with international risk management standards (e.g., PMI, ISO 31000, AACEI). Tools: Hands-on experience with QRA tools (such as Primavera Risk Analysis, @Risk, or Safran Risk). Software: High proficiency in Excel, Power BI, and specialized risk management platforms (e.g., ARM, Safran, etc.). Soft Skills: Exceptional analytical, communication, and problem-solving skills with a strategic mindset. Languages: Fluent in English (written and spoken). Certification: Hold a PMI-RMP (Risk Management Professional) or equivalent certification (highly desirable).

We are seeking a Senior ROP Risks & Opportunities Engineer to support risk management activities on complex industrial projects. Role Overview The ROP Engineer is responsible for identifying, analysing, and monitoring project risks and opportunities throughout the full project lifecycle. The role ensures risk management is fully integrated into planning, cost control, scheduling, and reporting processes, enabling informed decision-making and safeguarding project objectives. Key Responsibilities Support the development and implementation of the Project Risk Management Plan. Identify, assess, and categorize risks and opportunities in coordination with discipline leads. Maintain and update the risk register, ensuring alignment with the WBS, CBS, and project schedule. Facilitate risk workshops and stakeholder interviews to capture and validate risk inputs. Perform qualitative and quantitative risk analysis (QRA), including Monte Carlo simulations (e.g., Primavera Risk Analysis). Define, assign, and monitor mitigation and opportunity enhancement actions. Prepare periodic risk reports, dashboards, and presentations for internal and client reviews. Ensure integration of risk exposure with cost contingency and schedule buffers. Monitor emerging risks and capture lessons learned throughout the project lifecycle. Profile Bachelor's degree in Engineering, Project Management, or a related field. Minimum 5 years of experience in risk management within industrial or large-scale projects. Solid knowledge of risk management standards (PMI, ISO 31000, AACEI). Experience with QRA tools (Primavera Risk Analysis, @Risk, or similar). Proficiency in Excel, Power BI, and risk management platforms (ARM, Safran Risk, or equivalent). Strong analytical and problem-solving capabilities. Excellent communication and facilitation skills. Fluent in English. RMP or equivalent certification (desirable). Team-oriented professional with the ability to perform under pressure in dynamic project environments.

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. What you’ll do Right now, we are looking for a Senior Project Risk Manager. In this role you will report to our Project Risk and Opportunity Lead and sit within our Project Delivery function. The role requires excellent personal and interpersonal skills, and you will be at the core of our project delivery team, working across the full lifecycle of greenfield and brownfield projects. A role which supports all aspects of risk management ensuring that both qualitative and quantitative risk insights guide decision-making and delivery planning. This role requires a strong background in capital projects, excellent facilitation skills, and the ability to lead and influence multidisciplinary teams. Specific to this role, the day-to-day tasks will include the following but as we are a growing company with very little silos between teams, other tasks might be included as well. * Develop and implement risk plans for capital projects across all lifecycle phases (FEL1 to execution). * Facilitate structured assessments, project risk workshops, technical and non-technical. Update of risk registers, support risk and action owners, and verify mitigation activities. * Plan and facilitate Quantitative Risk Analysis (QRA) workshops and model capital risk profiles. * Perform integrated cost and schedule Quantitative Risk Analysis (QRA) using industry tools such as Safran Risk and @RISK. * Oversee maintain, monitor, and analyze project risk registers to ensure proactive mitigation and alignment with project objectives. * Support risk-based decision-making at both the project and program level through clear communication methods. * Provide coaching and training to project teams on risk principles and methods, and collaborate closely with project functions such as Planning, Cost, HSE, and Engineering to embed risk management into project systems and culture. * Assess internal and external project environments to tailor and implement project-specific risk management plans. * Configure project risk structures (registers, matrices, breakdowns), and lead facilitation of workshops to develop project risk profiles. * Lead specialized risk reviews (procurement, contract, change, and hazard studies), oversee decision analysis and value assessments, manage reporting to internal and external stakeholders, and ensure integration of risk into project controls. * Support project close-out by documenting lessons learned and ensure alignment with ISO-based risk framework * Liaise with the Risk and Opportunities Lead regarding risk practice application and best practices. What you’ll bring You’re curious and believe that real progress happens when we work together. You’re not afraid to challenge old ways of thinking - and you treat others with respect while doing it. At Stegra, we value people who take initiative, build trust, and help create a workplace where everyone can do their best. We welcome applicants who may not meet all formal qualification requirements but bring strong, relevant experience and a proven ability to perform in similar roles. Demonstrated capability and practical project risk management experience will be considered equally alongside formal education or certifications. * Degree in Project Management, Risk Management, Engineering, or related field, with professional certification (e.g. PMI-RMP, PMP, MoR, Prince2, AACE DRMP). * 15+ years of experience in project or risk management within capital-intensive industries (energy, mining, infrastructure, etc.). * Proven facilitation skills in leading risk workshops and strategic assessments with cross-functional teams. * Proficient in quantitative risk analysis using Monte Carlo simulations and tools like Safran Risk, @RISK, or Primavera Risk Analysis. * Understanding of project risk management grounded in international standards such as ISO 31000, ISO 31010, and IEC 62198, as well as frameworks including PRAM, PMI PMBOK, and the AACEI TCM 7.1 Framework and recommended practices. * Skilled in integrating risk insights across cost estimating, scheduling, procurement, and project controls. * Excellent communication skills in English (Swedish is a plus), with strong interpersonal abilities and coaching experience in risk management practices * Considered a plus if you have experience conducting technical risk reviews, including HAZOPs, What-If analyses, design and constructability reviews, and interface hazard studies. Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. You’ll receive fair, competitive compensation aligned with collective agreements, along with benefits like up to 30 days of paid vacation, occupational pension, parental benefits, and insurance. If you need support with relocation or immigration, our relocation department will help guide you through the process, whether it’s permits, housing or other practical matters. You can also enjoy perks like subsidized gym memberships and bike leases, plus the everyday benefits of life closer to nature. Read more about Benefits at Stegra here. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future.  Our Stockholm Office Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.

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.

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.     This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation.  What you'll bring You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams.    You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders.    You likely have experience in several of these areas:   Strong experience with Python and solid understanding of software and data engineering practices for production systems  Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  You have experience building data pipelines on platforms such as Databricks or Snowflake  Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with software versioning (e.g., Git)   Experience with generative AI or LLM-based applications    Beneficial:  Experience or familiarity with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge  Experience mentoring or leading technical work    You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.

Company description: Scandinavian Airlines System SAS Job description: Join Our Team as a Revenue Manager-Empower Your Career and Make an Impact! Are you looking for a workplace where your ideas are valued, your career can flourish, and your contributions can make a difference? We are looking for SAS revenue Managers who are passionate about driving innovation, solving complex problems, and shaping the future of our revenue strategy. We'd love to meet you if you're ready to take on exciting challenges in a dynamic, supportive environment!  What We are Looking for: You’re a smart, strategic thinker who loves working with data and using it to shape actionable insights. You have a growth mindset, thrive in dynamic environments, and enjoy problem-solving while collaborating with diverse teams. You’re ready to take ownership of projects and influence key business decisions, all while working in an environment that supports both your personal and professional growth.  Our Culture at SAS   Required: 1-2 years of experience in an analytical or technical role. Previous experience in revenue management, data analysis, or a related field is a big plus! Preferred: Experience with statistical modeling, programming, or quantitative analytics will make you stand out. Your Strengths:   Strategic & Analytical Thinking: You thrive on solving complex problems, making data-driven decisions, and turning insights into strategies that drive business growth. Clear Communication: You excel at explaining complex data insights in a way that’s both clear and compelling, connecting with colleagues across departments. Proactive & Results-Driven: You believe in making things happen! You take the initiative, move quickly from analysis to action, and consistently deliver impactful results. Why You Should Apply: At our company, we believe in supporting each other and championing everyone’s potential. If you're passionate about what you do and want to work in a place that values work-life balance, well-being, and empowerment, this is the role for you. What We Offer:   A collaborative and inclusive work environment where you can bring your unique perspectives and ideas to the table. Access to Industry-leading tools and technology for revenue optimization, empowering you to stay at the forefront of your field. A fast-paced, ever-evolving workplace, where no two days are the same and every challenge is an opportunity for growth. Real influence on key processes, with the chance to explore creative and innovative ways to increase revenue. No monotony here – you’ll tackle fresh challenges every day, utilizing your problem-solving skills to drive change. A culture of empowerment, where you are encouraged to take initiative, explore new opportunities, and lead the charge in revenue generation. A supportive, positive work culture that values balance, well-being, and collaboration. Workplace flexibility, including the option to use the gym. Read more here about the office building: https://Gate01.se. Access to staff tickets and discounts. A solid onboarding where you will be assigned an experienced Revenue Manager as a mentor. During your first months here, you will receive support from your team, mentor, and Team Leader as well as visit other departments within SAS. System training is provided by the system supplier and some training is held in Copenhagen. Social happenings with colleagues that have fun together in and outside of work.  Development opportunities are good with both specialist and leadership tracks being available. Our Culture at SAS At SAS, we are dedicated to caring for each other, delighting our travelers, and driving the transformation towards sustainable aviation. As a future colleague on our team, you’ll join a culture where we work collaboratively towards common goals, recognize each other's contributions, and celebrate successes. Our focus is on safe, sustainable, and punctual execution, and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive, grow, and take ownership of your work. Join us at SAS and be part of shaping the future of aviation!  Additional information   Deadline for application: 09/08/2026. Please note that, due to the vacation period, the selection process will commence only after the application period has closed. Note that we are not able to handle any applications that are sent by email, due to GDPR regulations. Desired start date: As soon as possible. Position: Fulltime (100%) starting with a 6-month probation period This position is based in Frösundavik, Solna (Stockholm), and you will be expected to work onsite. Remote work may also be an option, depending on the agreement made with your manager. To be eligible for this position you need an EU-work permit. Please note that we ask you to inform us if you currently have a valid EU-work permit. Is this you? If so, come fly with us!   #LI-VK1

Machine Learning Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration. This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development. About the role You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features. You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs. Key responsibilities Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers. Design and develop machine learning models and appropriate model structures. Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria. Validate, benchmark, and continuously improve existing and future machine learning models. Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints. Monitor production models and troubleshoot performance, reliability, and data-quality issues. Integrate new machine learning modules into Ferritico's web application. Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes. Contribute to testing, technical documentation, code reviews, and engineering decision-making. What we are looking for We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field. The ideal candidate has: An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline. Strong proficiency in Python and experience building clear, maintainable, and well-tested code. Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment. Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics. A basic understanding of backend and frontend development and how machine learning components integrate into software products. Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team. Nice to have Experience with any of the following would be highly valuable: Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows. Git-based version control, automated testing, continuous integration, and production monitoring. Physics-informed machine learning, scientific computing, or models that incorporate domain constraints. Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications. Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions. This role could be a strong fit if you Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing. Have practical experience developing, validating, deploying, or maintaining machine learning models. Enjoy combining data science with software engineering and practical product development. Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys. You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication. Not sure you meet every requirement? We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute. How to apply Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line) Application deadline: 31 July 2026

As a Senior/Lead Economy and Engagement Designer at Embark, you will be responsible for designing and implementing systems and mechanics that are deep and interesting for our players to engage with and retain them, short, medium and long term, as well as sustainable and player-friendly monetization features and models, that provide real value to our players, in a fair way. You will join the team on ARC Raiders and collaborate closely with the directors of the project, in refining concepts and ideas into tangible designs, prototypes and features, as well as Production leadership helping in articulating and establishing estimates, project scope and timelines. You will share your insights and knowledge in shaping relevant performance indicators, as well as validation methods using telemetry data and simulations. As a senior member of the design team we would like you to act as a coach and mentor to some of the other designers on the project, and possibly take on direct managerial responsibilities, if relevant and suitable. Inspiring and helping more junior designers with design methodology, documentation practices, etc. You will also own and spearhead game features directly, and work hands-on in cross disciplinary teams while implementing features and tools for running a successful and smooth live service game, including community events and other types of events. Example of responsibilities  Design, implementation and evaluation of our monetization strategy including quantitative and qualitative analysis, as well as any available automation and simulation strategies. Understanding player motivations and how they relate to our game loops, especially in terms of delivering a fun gameplay experience with engagement systems. Responsible for in-game virtual store including recommendations and contributions towards catalog and pricing strategy for micro-transactions. Joint optimization with marketing, acquisition and crm teams for the entire user journey. Be a key stakeholder in game frontend presentation and flow for engagement and game economy features. Design and collaborate on metagame, progression and economy systems for long term player retention and engagement. Analyze the impact of changes in the game, identify opportunities that will have a positive impact on monetization and engagement in development and post launch. Help define key performance indicators (KPIs) related to monetization, analyze KPI reports and share information with the team and stakeholders to identify and predict trends. Monitor trends on monetization in order to identify best practices, achieve optimal results and innovation. We would love if you have A creative and curious mind. 5+ years or more experience in equivalent roles. An understanding of acquisition, retention and monetization concepts. Understanding of AAA gameplay and game design, including player psychology, UX design, gameplay design. Proficiency with the Unreal Engine and experience with Blueprints and scripting. Ability to design and continuously improve the optimization process of any given game. Experience with experimental design and/or AB Testing for data driven designs. Experience of coaching more junior members of the team. Strong communication skills and the ability to align cross-functional stakeholders Professional English communication skills. This is an on-site role, and we are only considering candidates already residing in Sweden. At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together. Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!