Postdoc in AI-driven collaborations: Trust and decision-making
About this role
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 CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG
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 veri