Sökresultat för "Computational Modeling"

Ferritico AB

Senior Materials Informatics Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Senior Materials Informatics Engineer to develop, validate, and productize physics informed machine learning models for advanced materials, with a strong focus on steel, metallurgy, heat treatment, phase transformations, and process-property relationships. This is a mid- to senior-level technical role for someone who enjoys working at the intersection of materials science, computational modeling, machine learning, and product development. About the role You will contribute to the development of computational and machine learning models for metals and metallurgical applications. The role involves translating materials science expertise into clear model logic, validation workflows, technical requirements, and product features. You will help ensure that scientific models are technically sound, well-documented, validated, and aligned with real industrial engineering needs. Key responsibilities Develop computational and ML-based models for steel metallurgy, heat treatment, transformation temperatures, phase transformations, microstructure evolution, and process-property relationships. Define model assumptions, expected behavior, validation datasets, limitations, and acceptance criteria. Improve AI model performance by integrating materials science expertise and physics-informed modeling approaches. Identify data correlations between process, structure, and properties in steel processing and industrial applications. Retrieve, structure, clean, and curate materials data from literature, synthetic datasets, experiments, and other sources. Use Python-based workflows for data treatment, model execution, input preparation, output analysis, and visualization. Test AI software outputs and benchmark results against other simulation or modeling tools. Communicate model behavior, limitations, and results clearly to both technical and non-technical stakeholders. Contribute to documentation, testing, validation reports, and technical decision-making. What we are looking for We are looking for someone with a strong background in materials science, computational materials science, or physical metallurgy. The ideal candidate has: A PhD in Materials Science, Metallurgy, Computational Materials Science, or a related field; or an MSc with relevant experience in materials modeling. Strong understanding of physical metallurgy, preferably including steels, heat treatment, phase transformations, microstructure evolution, and process-property relationships. Experience developing, using, or validating computational models for materials behavior. Familiarity with materials data, alloy compositions, thermal histories, transformation kinetics, or microstructure-property relationships. Ability to use Python for scientific scripting, data treatment, and model prototyping. Strong communication skills and the ability to explain complex materials concepts in a multidisciplinary team. Nice to have Experience with any of the following would be highly valuable: Steel phase-transformation modeling, TTT/CCT diagrams, JMAK kinetics, carbide precipitation. CALPHAD, pycalphad, or similar tools. Alloy design, ICME workflows, ML applied to materials science. Product ownership, technical leadership, or experience translating scientific models into user-facing tools. Data analysis using NumPy, pandas, matplotlib, scikit-learn, Excel-based workflows, or similar tools. This role could be a strong fit if you Recently completed a PhD involving computational or experimental materials modeling. Have an MSc and several years of experience building or using materials models. Enjoy combining materials science with scripting, data analysis, and practical software development. Want to work close to product development rather than only research. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will be part of a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. You will have the opportunity to influence both the scientific foundation and the product direction of tools used for advanced materials development and manufacturing. 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 materials science, metallurgy, computational modeling, or materials informatics, to: contact@ferritico.com (Please include the job title in the email subject line)

STIFT THE STOCKHOLM ENVIRONMENT INSTITUTE, SEI

About the role The objective of this position is to strengthen the team’s capacity to develop and apply data-driven and systems-based approaches across water, coastal and marine domains – including federated data systems, decision-support tools and geospatial analysis – while contributing to project leadership and new funding opportunities. The researcher will work across the team’s three pillars and multiple projects, bringing methodological coherence to data-intensive work and reducing dependence on the team lead for analytical coordination. About the team The Water, Coasts and Ocean Team works across three thematic pillars: Resilient Infrastructures, One Water and Blue Economy. Across these pillars, the team addresses increasingly complex challenges involving data integration, cross-sectoral cooperation and digital decision-support – from freshwater systems and coastal resilience to offshore infrastructure and critical national services. Several funded projects now require integrated capacity in data (systems, modelling and governance). Recruiting a researcher with strong expertise in data systems is a strategic priority for delivery, proposal development and analytical leadership. Key responsibilities Lead and contribute to data systems work: integration, interoperability, security and application in decision-support tools across sectors Apply and promote FAIR data principles (Findability, Accessibility, Interoperability, Reusability) and related standards in project data management Develop and implement digital and data-driven approaches for infrastructure risk assessment, resilience planning and coastal and marine management Contribute to SAFEWIN’s development of federated learning approaches for cross-sectoral data cooperation in sensitive infrastructure contexts Contribute to KRAFT’s analysis of data management challenges and cascading risks across critical infrastructure systems Engage with Swedish and international stakeholders, including public agencies, research partners and practitioners Translate complex data and modelling outputs into policy-relevant insights, project reports, publications and stakeholder-facing materials Contribute to proposal development and fundraising for new projects Support project coordination and supervision of junior researchers where relevant What we are looking for We do not expect candidates to have expertise across all areas listed. We are particularly interested in candidates with strong foundations in either data systems and digital methods or the governance and application of digital tools, combined with a demonstrated ability to work across disciplinary and sectoral boundaries. Experience in or genuine interest in water, coastal, marine or critical infrastructure contexts is valued but not required. Essential PhD in data science, environmental informatics, computer science, infrastructure systems or a related field; candidates without a PhD must demonstrate equivalent independent research experience, including a track record of securing funding Strong experience with data integration, modelling, spatial analysis or the development of digital decision-support tools Experience eliciting user requirements and translating them into analytical methods, digital tools or decision-support products Experience working with data from complex, multi-sectoral or infrastructure-related contexts Working proficiency in at least one programming or scripting language (e.g. Python, R) for data analysis or tool development Ability to lead analytical work packages within interdisciplinary research projects Familiarity with data governance, metadata standards, interoperability frameworks and data architectures supporting the sharing and use of data across organizations or sectors Experience contributing to or leading research funding proposals, with a track record of securing funds at a scale commensurate with career stage Strong publication record or equivalent output in applied research settings Excellent written and oral communication skills in English Desirable Experience with federated learning, privacy-preserving computation or cross-sectoral data governance Familiarity with GIS and geospatial data tools Background in or demonstrable familiarity with critical infrastructure systems, offshore energy, marine monitoring or defence-adjacent data environments Working proficiency in Swedish Who you are This is a cross-cutting role open to candidates at mid- or senior-researcher level. Both levels are genuinely considered; the appointment will reflect the experience and profile of the successful candidate. The ideal candidate at either level combines technical depth in data systems with the ability to engage meaningfully with governance, policy and stakeholder dimensions – and to translate between these registers. The role sits at the technical–policy interface that characterizes SEI’s comparative advantage. We are not looking for a pure engineer or a pure policy analyst, but someone who understands data systems well enough to make credible technical contributions and is intellectually curious about the institutional, political and governance dimensions of how data is managed and shared in complex settings. Mid-level researcher – A mid-level researcher will have demonstrated the ability to work independently on analytical and data-intensive tasks within research projects. They will have some experience contributing to funding proposals and may have secured smaller grants or project components, though not necessarily in a leading role. They may have worked within teams or independently without formal management responsibilities, and will have an emerging publication record or equivalent demonstrated output in applied research settings. Senior researcher – A senior researcher will have a demonstrated track record of independently mobilizing research or innovation funding, including having led funding applications, not only participated in teams led by others. They will have successfully secured funds both for their own work and to support others, and will have held leadership positions with responsibility for more junior staff. They will have built a recognized area of work, evidenced through a sustained publication record, a portfolio of funded projects or equivalent standing in applied or policy research communities.

Beyond Gravity Sweden AB

🚀 Challenge the Impossible​ ​ About Beyond Gravity Beyond Gravity, headquartered in Zurich, Switzerland, is the first space company to combine a startup mindset, agility, speed and innovation with decades of experience and proven quality. Approximately 1800 employees at 12 locations in six countries (Switzerland, Sweden, Austria, USA, Finland and Portugal) develop and manufacture products for satellites and launch vehicles with the goal of advancing humankind and enabling the exploration of the world and beyond. Beyond Gravity is the preferred supplier of structures for all types of launch vehicles and a leading provider of selected satellite products and constellation solutions in the New Space sector. In 2024, the company generated a revenue of around CHF 359 million. More information at: www.beyondgravity.com Your crew You will become part of the Dispenser organization. Today, we are a team of approximately 60 people with diverse backgrounds and areas of expertise, such as Design Engineer, System Engineer, Analysis Engineer, and Verification and Test Engineer. Together, we form a strong team with a great passion for technology – we are responsible for the development, design, structural analysis, and testing of our products. Alongside us, you will help transform and refine our ways of working within an innovative industry full of endless improvement opportunities. We are currently in an exciting transformation where we are growing a Tech Hub in Portugal and you will become part of a dedicated team with the ambition to revolutionize space! Your mission • Perform structural analyses by independently conducting static strength and dynamic simulations with minimal supervision, applying relevant industry standards and engineering best practices. • Execute engineering calculations using hand methods to size components and validate or cross-check numerical analysis results. • Conduct advanced CAE simulations by performing finite element analysis (FEA) on complex systems and multi-physics problems, defining effective modeling strategies, and balancing accuracy with computational efficiency. • Develop and enhance analysis tools by designing automation frameworks and leading the creation of custom solutions for model setup, simulation execution, and result interpretation. • Collaborate across disciplines by integrating inputs from various engineering domains into structural analyses and working closely with subject matter experts to ensure consistency and accuracy. • Support testing activities by contributing to test planning, predicting structural behavior, assisting with sensor placement and load case definition, and correlating simulation results with physical test data. • Provide production and quality support by participating in Non-Conformance Review Boards (NRBs), proposing technical solutions, supporting root cause analysis, and contributing to First Article Inspections (FAI) and operator training when required. • Prepare technical documentation and reports by independently producing high-quality deliverables, maintaining traceability between requirements and outputs, and clearly communicating project status to stakeholders. • Drive problem-solving and decision-making by applying structured methodologies, evaluating evidence, identifying biases, and making sound technical decisions while considering cost, schedule, and business constraints. • Contribute to innovation and R&D by gathering and interpreting data, participating in brainstorming sessions, applying research methodologies, and leveraging lessons learned to improve engineering solutions. • Support business development activities by contributing technical inputs to bids, proposals, Engineering Change Proposals (ECPs), and Contract Change Notices (CCNs). • Mentor and support team development by assisting in training material creation, coaching junior engineers and interns, and supporting onboarding activities. • Manage tasks and project progress by tracking budgets and milestones, identifying risks and blockers, and ensuring efficient allocation of resources. • Support product development and lifecycle activities by maintaining knowledge of the product portfolio, interacting with hardware, and contributing to continuous product improvement initiatives. Your story Must’s: • B.Sc. or M.Sc. in Aerospace, Mechanical or other engineering, or equivalent experience. • 3+ years of analysis experience in aerospace or equivalent industry. • Proficiency in FEA tools and standard analysis workflows (MSC Nastran, Hyperworks, NX, Abaqus). • Experience in linear static and dynamic analysis. • Experience in writing technical documentation. • Basic scripting (Python/VBA) for analysis automation. Nice to have’s: • Knowledge of detailed stress analysis using aerospace methodologies. • Knowledge of mechanical layout of aerospace structures and materials. • Familiarity with nonlinear analysis. Why Beyond Gravity • To work in a growing high technology company with career opportunities within the site or internationally. • You will be a part of an engaged team with the ambition to innovate space! • We offer a hybrid work situation, high flexibility and autonomy, and a great team to develop and have fun with! • Overtime and travel compensation and you have the right to 25 days of vacation/year. • Wellness allowance of 3000 SEK/year via the benefits portal Epassi. • Lunch subsidy via Edenred, which means you are offered a card loaded with 1520 SEK/month 🌌Are you ready for lift-off?​ Our core values - Passionate, Together, and Curious - transform challenges into opportunities. Embark on a journey to transcend the ordinary with us. Propel your career to new heights by applying before 30/06/2026. We‘re actively reviewing candidates and will promptly select the ideal fit for our team.​ ​ Beyond Gravity is proud to be an Equal Opportunity Employer. We welcome and encourage applications from all qualified individuals, regardless of race, color, religion, sex, gender, national origin, disability, protected veteran status, or any other legally protected categories.​

SCALINQ AB

About the job Cryogenic Engineer Are you the engaged Cryogenic Engineer who will drive the next generation of SCALINQ's quantum hardware? You will together with the team develop the full cryogenic hardware lifecycle—from simulation to experimental testing. You'll solve complex challenges in low-temperature physics and provide the critical simulation feedback that shapes our technology roadmap. Join us to make a direct impact on the future of quantum technology! Required Skills: Fundamental understanding of low-temperature physics and cryogenic systems. Good experience with SolidWorks Thermal, COMSOL Multiphysics or a similar thermal simulation software. Advanced skills in Python or MATLAB for data handling, analysis, and model automation. Ability to participate in experimental testing towards verification of simulation. Ability to use simulation results to guide hardware development. Ability to troubleshoot system issues in collaboration with design and test teams. Team player who initiates a collaborative environment. A drive to stay updated on the latest advancements in relevant technologies and computational modeling techniques and applying solutions across fields. Excellent communication skills, with the ability to present complex data clearly. A M.S. in a relevant field (e.g., Physics, Materials Science, Electrical engineering, Mechanical Engineering) or equivalent experience in a technical simulation role.  Preferable Skills (Good to Have): Ability to design experiments towards verification of simulation results. Practical, hands-on experience with cryogenic refrigerators. Experience with CAD software (e.g., SolidWorks, Inventor, Ansys). Familiarity with the challenges of integrating RF/microwave components in cryogenic environments. A startup mentality: Thrives in a fast-paced growing environment, is adaptable to changing priorities, and takes initiative to solve problems About us: SCALINQ is a prominent player in the growing field of quantum computing. Our core focus is the development of state-of-the-art cryogenic hardware. All our products are classified as enabling hardware and are vital for the overall performance of a quantum computer. This could be your opportunity to play a key role in unlocking the full potential of a new tech era while structuring the financial backbone of the company. The Team: At SCALINQ, diversity and inclusion are at the core of who we are. Our greatest strength lies in the people who shape our company, each contributing their unique skills and perspectives. Together, we blend cutting-edge research expertise with traditional engineering practices to develop innovative and commercially viable solutions. Joining our team means being part of a dynamic environment where every contribution matters. Be part of a dynamic environment where your ideas and contributions truly make a difference. What we offer: At SCALINQ, you’ll join a fast-moving, multicultural team at the forefront of a cutting-edge industry. We offer healthcare benefits, continuous learning opportunities, and an inspiring, modern workspace built for collaboration and innovation. This is a place where driven individuals thrive where you’re empowered to grow, take initiative, and explore new directions, all while working toward shared goals. Here, you have the opportunity to be truly smart to think critically, solve complex problems, and make a real impact. Whether you choose to specialize or broaden your expertise, you’ll have the freedom to shape your path and contribute to something bigger. In a rapidly changing world, we move with purposeand we’re looking for others who do too. Ready to push boundaries with us? Let’s go! Join Us: If you think it sounds like fun please, apply by sending your resume and a cover letter. Mark your application with CRYO.

SVERIGES LANTBRUKSUNIVERSITET

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.

SVERIGES LANTBRUKSUNIVERSITET

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.

LULEÅ TEKNISKA UNIVERSITET

Do you want to develop your research and teaching in an environment where collaboration with industry and society is a natural part of the work? With us, you will collaborate with dedicated colleagues, have access to modern research infrastructure, and enjoy strong opportunities to attract external funding. You will have the space to make a real difference for your students, your research, and society at large. The subject area of Polymeric composite materials at Luleå University of Technology is now announcing a postdoctoral position. The position focuses on fundamental research on high-performance, thermo-oxidatively stable advanced fiber-reinforced polymer composites. The position focuses on fundamental research on high-performance, thermo-oxidatively stable advanced fibre-reinforced composites.   Subject description   Polymeric Composite Materials is a research area comprising the study of processes and mechanisms that influence the performance and properties of fiber reinforced composites, as well as the know-how regarding their manufacturing techniques.   Project description   The recruitment is carried out with the aim of, through fundamental materials science research on the properties of temperature-resistant candidate resins, developing a deep understanding of new temperature-resistant material combinations. This understanding will be used to establish theoretical models describing the relationship between manufacturing and performance. The ultimate goal is to enable continuous use of new materials in highly demanding environments.   Duties   The candidate will become part of a research group working on validating experimentally verified physical phenomena using relevant material models, as well as development of high-performance composites for a wide range of applications.   Qualifications   To be eligible for the position, the applicant must hold a doctoral degree, or equivalent, in composite materials, materials science and engineering, polymer science, polymer engineering, computational materials science, applied physics, mechanical engineering, physical chemistry, or related fields. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification. Candidates who have been awarded a doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence.   Good proficiency in spoken and written English is required. You should be able to work in a team, take initiative, and have strong collaborative skills.   Additional qualifications include expertise in material characterization, particularly of polymers and composite materials. Competence in curing reactions of thermosetting polymers, practical composite manufacturing, thermochemical and mechanical characterization, as well as modelling of thermo-mechanical properties of composites is also meritorious, as is experience with X-ray tomography and the application of methods—including AI-assisted methods—for data analysis.   The selected candidate must comply with applicable export control legislation, as well as any customer and supplier requirements regarding security and information management. Access to certain information and technology within the assignment is restricted in accordance with applicable export control regulations and license conditions. Only individuals who can be authorized for such access under these regulations may participate in the parts of the assignment covered by these restrictions.   Further information   Full-time fixed term employment for two years with placement in Luleå. Estimated starting date is December 1, 2026.   For further information about the position, please contact Patrik Fernberg, (+46) 920 492883, mailto:patrik.fernberg@ltu.se   Union representatives:   SACO-S Diana Chroneér, (+46) 920-49 2037 mailto:diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721 mailto:marita.vesterberg@ltu.se   In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.   Application   We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.   Closing date for applications: 6 of August 2026 Reference number: 3680-2026

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

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. ***

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Do you want to join an international team of expertise to support industry in better understanding which defects in fibre-reinforced composite structures that can be accepted without compromising quality or safety? We have an open position for a doctoral candidate within LEGEND – a European doctoral network developing increased understanding of, and computational tools for studying the effects of defects in composite structures. About us  The Doctoral student position is placed at the Division of Computational Mechanics and Materials Engineering, which belongs to the Department of Mechanical Engineering at Chalmers University of Technology. We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our activities integrate computational mechanics and advanced materials technology, combining multidisciplinary expertise to predict, understand, and elevate the performance of engineering materials and structures.     Within the project, you will also be connected to an international team of experts in the area of mechanics of composites through LEGEND – a Marie Sklodowska Curie Action doctoral network project. LEGEND, encompassing a collection of European research organisations and industries, will recruit 14 doctoral candidates, offering a lot of cross-over collaboration. For more information, please visit the LEGEND https://www.legend-msca-dn.com/. About the research project   This project focuses on redefining how defects are assessed in composite aerospace structures  - helping industry move beyond overly conservative repair or discard decisions. The Doctoral student will develop an advanced global–local modelling approach that captures how individual and interacting defects influence structural performance. By combining high-fidelity simulations with experimental testing of lab-scale components, our research will generate new data, validate predictive models, and establish improved defect acceptance criteria. The outcome will be a practical, industry-ready methodology that enables safer, more cost-efficient decisions when dealing with defects in composite components. The project will involve collaborations and secondments (in total 8 months during the first three years) at University of Kore (2 months) and Leonardo S.p.A. (6 months) in Italy. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Applied Mechanics, Structural Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar. Documented experience (education/courses or thesis project with high grades) in the finite element method and the mechanics of fibre-reinforced polymers. Interest and high skills in programming and numerical methods Strong written and verbal communication skills in English  *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.  We also expect that you are analytical, ambitious, independent, and a strong team player that thrives through collaboration. The following experience will strengthen your application:  Documented knowledge (education/courses or thesis project) in computational homogenisation and/or computational micro/mesoscale modelling. What you will do Develop your scientific concepts and communicate the results of your research through written scientific publications and oral presentations at international conferences. Collaborate with fellow doctoral candidates within the LEGEND project, utilising synergies between projects. Actively participate in General Assembly meetings and doctoral training events within LEGEND, distributed across Europe. Take courses at an advanced level within the Graduate school of Solid and Structural Mechanics. Develop and implement a computational framework that links small-scale material defects to large-scale structural performance, enabling accurate prediction of how defects affect strength, stiffness, and fracture behaviour. Teach on Chalmers' undergraduate level corresponding to 10 percent of working hours. Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 10%, which extends the position up to four and a half years.  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  Applicants must not already be in possession of a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible. Applicants must not not have resided, worked, or studied in Sweden for more than 12 months in the 3 years immediately prior to the date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.  To sign the contract, the chosen candidate must fulfil the http://ec.europa.eu/research/mariecurieactions. The MSCA DN programme offers a highly competitive and attractive salary and working conditions. The chosen candidate will receive a salary in accordance with the MSCA regulations. The MSCA DN grant offers a monthly Living Allowance (€5,012 per month, as adapted to Sweden), Mobility Allowance (€710 per month), and Family Allowance (€495 per month, if applicable). The salary is subject to taxation and social contributions. Chalmers guarantees the starting salary of the position is minimum 35,725 SEK. What we offer  As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/  Application procedure  For information about the application procedure, please refer to the advert on Chalmers' website: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=15011&rmlang=UK   We welcome your application no later than 31 August. For questions, please contact:   Professor Martin Fagerström email: mailto:martin.fagerstrom@chalmers.se

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Are you excited about shaping the next generation of wireless communication and sensing technologies? As a PhD student at Chalmers, you will conduct cutting-edge research in thermal design, advanced semiconductor technologies, and innovative packaging solutions for high-performance RF and mmWave systems. About us  At the Microwave Electronics Laboratory, we focus on application driven research on high-speed electronic components, circuits and systems for future communication and remote sensing applications. The research spans frequencies from below 1 GHz to 500 GHz. Our main research areas are within wireless high speed digital communication, sensors such as radar systems and radiometers, and microwave heating. We demonstrate innovative microwave components and circuits in our own fabrication lab, the Nanofabrication Laboratory at MC2, or at external cooperation partners/foundries. We characterize our components and circuits in our measurement laboratory.     About the research project   Future wireless communication, radar, and sensing systems require electronics that deliver higher power, greater energy efficiency, and increased integration. This project focuses on developing advanced thermal packaging solutions for GaN-based RF and mmWave electronics, where heat management is critical for performance and reliability. The research combines thermal characterization, modeling, microwave design, and additive manufacturing to create innovative packaging concepts that integrate both thermal and electromagnetic functions in compact, high-performance systems. Who we are looking for We are looking for a self-driven and highly motivated PhD candidate with a strong interest in solving system-level engineering challenges. The ideal candidate enjoys working across disciplinary boundaries at the intersection of electronics, physics, thermal engineering, and advanced materials, and is eager to contribute to the development of next-generation wireless communication and sensing systems. The following requirements are mandatory: To qualify as a Doctoral student, you must hold a Master's degree (120 ECTS) or equivalent in Electrical Engineering, Engineering Physics, Mechanical Engineering, Materials Engineering, or a closely related field. For applicants with an education earned outside Sweden, a four-year Bachelor's degree may be considered equivalent. A strong interest in electronics, semiconductor devices, heat transfer, thermal management, and/or computational modeling. Strong analytical and problem-solving skills, with the ability to understand and address complex engineering challenges. Ability and motivation to work both experimentally and theoretically, combining simulations, measurements, and data analysis. Excellent written and verbal communication skills in English. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.  Personal qualities are of great importance for this position. We are looking for a curious and ambitious candidate who enjoys learning new skills and tackling multidisciplinary research challenges. You should be able to work independently, take initiative, and contribute effectively to collaborative projects involving colleagues, industrial partners, and international research teams. A structured approach to research, strong communication skills, and the ability to translate scientific findings into practical engineering solutions are highly valued. The following experience will strengthen your application:  Experience with thermal modeling and simulation tools such as COMSOL Multiphysics, ANSYS, CFD software, or equivalent. Experience in RF, microwave, or mmWave engineering. Experience with measurement techniques, laboratory work, and experimental characterization of electronic devices or systems. Programming experience in MATLAB, Python, or similar scientific computing environments. Knowledge of semiconductor devices, electronic packaging, reliability analysis, or heat transfer. Experience with additive manufacturing, advanced materials, or multiphysics simulations. Previous research experience through thesis work, publications, industrial R&D projects, or other advanced engineering projects. What you will do Take courses at an advanced level within the Graduate school of Microtechnology and Nanoscience. Develop your own scientific concepts and communicate the results of your research verbally and in writing  The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years.  A starting salary of 35,725 SEK per month (valid from May 1, 2026).  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  What we offer  As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about  working at Chalmers  and our benefits for employees.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and 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.    We look forward to your application!

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

We are looking for a Doctoral student in Complex Mobility Systems. The position is part of a Swedish Research Council-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 the transformation of transport and energy systems using data-driven, computational and policy-relevant approaches. We work at the intersection of mobility systems, energy systems, electrification, resilience, equity and sustainability, combining large-scale empirical data, modelling, simulation and systems analysis.  In https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/energy-environment-and-systems/, you will learn the use of techniques and analytical methods regarding the environment, energy, nature and society. The graduate school offers different specializations, Energy Conversion, Industrial Energy Systems, Energy and Material Systems, Physical Resource Theory, Environmental Systems Analysis and Complex Systems.  The graduate school is organised within the https://www.chalmers.se/en/departments/env/ and https://www.chalmers.se/en/departments/tme/ 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 master’s degree corresponding to at least 240 higher education credits, or equivalent, in a relevant field such as engineering, applied mathematics, physics, computer science, data science, complex systems, transport systems, urban science, geography, urban planning, computational social science, or a related field. Strong quantitative, analytical, computational, or theoretical training relevant to the research topic. Meritorious educational qualifications: Read more about this at www.chalmers.se   Mandatory experiences and skills Strong motivation to conduct doctoral research Good analytical and problem-solving skills Good programming, modelling, data analysis, or mathematical skills, with the ability to understand and engage with computational model implementation. Ability or strong motivation to work with activity-based modelling, agent-based modelling, synthetic populations, mobility data, or geospatial data. Very good written and spoken English Ability to work independently and collaboratively in an interdisciplinary research environment The following experience will strengthen your application:  Read more about this at www.chalmers.se   What you will do Your main responsibility will be to conduct doctoral research and complete a PhD degree. Depending on your profile, your work may include: Developing theoretical and computational models of complex mobility systems Studying how people and networks adapt to disruptions Contributing to dynamic synthetic populations and agent-based simulations Applying complex systems, network science, resilience, or computational social science methods Analysing mobility, demographic, land-use, transport network, or other urban data Developing indicators for accessibility loss, unmet mobility needs, recovery, vulnerability, and equity Publishing in international journals and presenting at conferences Contributing to open and reproducible research workflows The position may also include departmental duties, such as teaching, up to the level allowed by Chalmers’ doctoral employment rules. Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years.  A starting salary of 35,725 SEK per month (valid from May 1, 2026).  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  What we offer  Read more about what we offer at www.chalmers.se    Application procedure  Read more 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. ***