A research assistant Position is available in the research group Discrete Optimization and Logistics of Professor Nickel at the Institute of Operations of the Karlsruhe Institute of Technology (KIT), Germany, within the research project
Sequential Decision Making under System-inherent Uncertainty:
Mathematical Optimization Methods for Time-dynamic Applications
funded by the Deutsche Forschungsgemeinschaft (DFG). The position is for three years and the remuneration is due to TV-L according to the qualification of the applicant. The position can be started as soon as possible.
The position focuses on research in the following subjects:
- Development of a generic framework for sequential decision making under incomplete information for a unified comprehension of optimization approaches under uncertainty (Stochastic Programming, Robust Optimization, and Online Optimization)
- Enhancements of distributional analysis methods for algorithm quality and integration of robustness measures
- Retrieval of an information pool for algorithm behaviour in basic applications
- Integration of optimization methods in simulation models
Applicants must hold a master's degree, or equivalent in Mathematics, Computer Science, or a related discipline with a focus on Operations Research or optimization theory. Applicants should have a profound knowledge and interest in Discrete Optimization as well as Mathematical Programming. Also required are very good programming skills as well as knowledge in the design of optimization algorithms. Acquaintance with Stochastic Programming, Robust Optimization, and Online Optimization is advantageous.
Please send your application – pereferably in electronic form – to Prof. Stefan Nickel (stefan nickel, Institut für Operations Research, Diskrete Optimierung und Logistik, Kaiserstr. 12, 76131 Karlsruhe, Deutschland). The application should contain a cover letter, curriculum vitae, transcript of records, thesis, and doctoral thesis (if applicable). For questions regarding the position, please contact Dr. Fabian Dunke ( ∂kit edudunke, +49 721 608 46816). More information on the research group can be found under dol.ior.kit.edu. ∂kit edu
KIT is an equal opportunity employer. Applicants with disabilities will be preferentially considered if equally qualified.