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

Göteborg, Sweden💼 Full-time🗓 2026-06-04 → 2026-07-31

Core

Develop a practical framework for 'trust calibration' in AI-supported collaboration to enable firms to trust each other and collaborate in supply chain management and transport/logistics settings.

Role type

Postdoctoral researcher (AI-driven decision-making and trust in SCM)

Builds

A lightweight trust calibration framework for AI-supported collaboration

Domain

Supply chain management, transport/logistics, AI, inter-organizational collaboration

Deliverable

production ML models | research

Required skills

Empirical research methods (case studies, surveys, interviews), analytical research, basic coding for model development, written and verbal communication in English

Preferred skills

Mixed-method research designs, experience with AI-related topics or data-driven decision-making, prior collaboration with industry

Technologies

None explicitly stated

Responsibilities

Conduct research on AI-supported decision-making, trust, and collaboration; Design and carry out qualitative and quantitative studies; Publish research findings in leading academic journals; Engage with industry partners; Supervise master's and/or PhD students

Seniority

Postdoctoral researcher (early-career academic)

Rewrite
## Job Title Postdoc in AI-driven collaborations: Trust and decision-making ## Responsibilities - 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 lightweight 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. ## Requirements - 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. ## Nice to Have - 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. ## Benefits - As a postdoc 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 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 and 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 and meets all requirements.
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