🇩🇪 Research Associate in Business Analytics
Location: Germany
Deadline: 29 April 2026
Research Associate in Business Analytics at TUM, focusing on sequential decision-making under uncertainty in healthcare operations
The Business Analytics Research Group at the Technical University of Munich (TUM) is seeking a Research Associate / PhD Candidate (m/f/d) in the field of sequential decision-making under uncertainty, with a focus on healthcare operations and data-driven decision systems.
The successful candidate will conduct research and advance knowledge in this topic using methodologies from the fields of stochastic modelling and control, optimization and data analytics. The position is available from September 2026 and is fixed for a term of 3 years, with the possibility of extension.
Key responsibilities include:
- Developing novel models for sequential decision-making under uncertainty
- Conducting theoretical analysis and designing efficient algorithms for large-scale stochastic systems
- Integrating data-driven methods for model estimation, learning, and validation
- Collaborating with interdisciplinary partners in healthcare and data science
- Publishing research in leading journals and presenting findings at international conferences
Applicants should have a master’s degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field, as well as a solid background in dynamic programming, Markov decision processes, probability theory, stochastic modeling, optimization methods, and algorithm design.
For more information, please visit https://portal.mytum.de/kompass/datenschutz/Bewerbung/ or contact Ms. Corina Häußermann at bewerbungen.cdt@mgt.tum.de.
Tags: Business Analytics, Research Associate, PhD Candidate, Sequential Decision-Making, Healthcare Operations, Data-Driven Decision Systems, Stochastic Modelling, Optimization, Data Analytics, Germany