Postdoc in Production Management: AI-driven Sustainability and Resilience
This postdoctoral research position in Production Management focuses on applications of AI and related enabling technologies in manufacturing operations. The research addresses how AI and machine learning can support more sustainable and resilient production systems, including their role in decision-making for production planning, coordination of material flows, and management of uncertainty in complex industrial environments. Particular attention is given to the integration of AI into production contexts where human decision-makers remain central.
The position is part of the XPRES centre and will also contribute to the Vinnova-funded research project BATT:RY, which explores sustainable and circular battery value chains. The postdoctoral researcher will engage with academic and industrial partners to develop knowledge and solutions for circular manufacturing systems, including remanufacturing, recycling, and reverse logistics. This offers a unique opportunity to work on real-world challenges related to the green transition of industry. The position is located at KTH Royal Institute of Technology in Stockholm, Sweden.
Key Qualifications:
- Hold a doctoral degree or an equivalent foreign degree, preferably obtained within the last three years.
- Documented research expertise and ability to publish in international scientific journals.
- Strong background and experience within production and operations management, sustainable production, industrial and systems engineering, or similar.
- Strong background or experience working with industrial applications related to data science, AI, and machine learning.
- Ability to work both independently and collaboratively in a multidisciplinary setting.
Deadline: June 17th, 2026