Postdoktor i produktionsledning: AI-driven hållbarhet och resiliens
Core
Researching how AI and machine learning support sustainable and resilient production systems, focusing on decision-making for production planning, material flow coordination, and uncertainty management in complex industrial environments.
Role type
Postdoctoral researcher in production management (AI-driven sustainability)
Builds
Knowledge and solutions for circular manufacturing systems, including remanufacturing, recycling, and reverse logistics
Domain
Industrial engineering, sustainable production, AI, and supply chain resilience
Deliverable
research
Required skills
analytical ability, theoretical and applied research capability, independent research, scientific publication, cross-disciplinary collaboration, teaching at various levels
Preferred skills
recent PhD (within 3 years), industrial applications in data science/AI/ML, industrial system simulation, production planning, operational performance control and optimization
Technologies
AI, machine learning, industrial systems simulation
Responsibilities
Conduct independent research, publish in leading scientific journals, collaborate with academic and industrial partners, contribute to new research proposals, teach at undergraduate, advanced, and doctoral levels
Seniority
Postdoctoral (early career researcher)
