Postdoc in Functionalization of Graphene related 2D materials for batteries

How can AI enable firms to trust each other and collaborate? or will it break our trust? Join our interdisciplinary research at Chalmers to develop new insights and tools for trust‑calibrated, AI‑supported decision‑making in SCM or Transport. Join us at the Division of Supply and Operations Management, Department of Technology Management and Economics, and help advance knowledge in the supply chain management and AI fields. The project will be conducted in close collaboration with the Interaction Design and Software Engineering division at the Computer Science and Engineering department.  We are looking for an ambitious and analytical postdoc to join our team.  About us  The Department of Technology Management and Economics conducts research and education at the intersection of technological development and management/policy. The division of Supply & Operations Management (SOM) performs research, education and outreach activities related to logistics, operations management, and industrial marketing and purchasing. All of these areas relate to the broader field of supply chain management. Our research is empirical and problem-oriented, with strong emphasis on theoretical, industrial, and societal relevance.   The Interaction Design and Software Engineering division conducts research and education in both Interaction Design and Software Engineering.  About the research project   This 2 year funded Postdoc project investigates how AI‑supported decision-making reshape collaboration, trust, and information sharing in a business-to-business context. Focusing on real-world supply chain management and logistics settings, it examines how trust in AI and between organizations influences data sharing, coordination, and joint efforts toward zero‑emission systems.  Using qualitative and quantitative methods, the project develops and tests a practical framework for “trust calibration” in AI‑supported collaboration, helping organizations understand when to rely on AI, when to verify its recommendations, and how to design governance structures for responsible and effective collaboration. We have a pool of interview data to begin the project. Who we are looking for  The following requirements are mandatory:  A doctoral degree in supply chain management, operations management, information systems, or a related field (or an equivalent foreign degree). This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English.  Experience in conducting and publishing empirical (case studies, surveys, interviews, etc.) and analytical research methods.  Comfortable with basic coding used to develop the calibration model. Demonstrated interest in topics related to AI, inter-organizational collaboration, trust, or transport/logistics systems. Ability to work both independently and collaboratively in an interdisciplinary research environment. You are expected to be somewhat accustomed to teaching and to demonstrate good potential within research and education.  The following experience will strengthen your application:  It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience working with AI-related topics, digital technologies, or data-driven decision-making. Experience with mixed-method research designs. Prior collaboration with industry or engagement in applied research projects. What you will do  Conduct research on AI‑supported decision‑making, trust, and collaboration in transport and logistics systems. Design and carry out qualitative and quantitative studies (e.g., interviews, surveys, and empirical analysis) and contribute to the development of a light weight trust calibration framework for AI‑supported collaboration. Publish research findings in leading academic journals and present at international conferences. Engage with industry partners and contribute to ongoing collaborative research projects. Supervise master’s and/or PhD students to a certain extent  Possibility to engage in teaching at undergraduate/master’s level  The position is meritorious for future roles in academia, industry, or the public sector.  Contract terms   The position is a temporary full-time employment for two years. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  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.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes that relate to this position.  An outline of your future goals and research focus related to this postdoc.  Use the button at the foot of the page to reach the application form.   A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than August 3rd.   For questions please contact:  Ala Arvidsson Associate professor   ala.arvidsson@chalmers.se   Lisa Govik Associate professor lisa.govik@chalmers.se   Rebekka Wohlrab Assisstant professor rebekka.wohlrab@chalmers.se   We look forward to your application!

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. ***