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