Postdoc in AI-driven collaborations: Trust and decision-making

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!