The Chair of Model Reduction in Control Engineering is seeking to fill two doctoral positions (m/f/d). Both positions focus on fundamental advancements in model reduction methods for industrially relevant processes. One position, within a sub-project of Transregio 287, addresses model reduction for energy and process engineering processes primarily described by reaction-diffusion equations. The second position, in collaboration with an industrial consortium, focuses on hydraulic turbomachinery, for whose modeling the Navier-Stokes equations are central. Both projects build upon the Chair's long-standing work and offer the opportunity to work in a small team of colleagues specializing in model reduction methods. Both projects include the opportunity to publish at national and international conferences and in international journals, providing ideal preparation for a doctoral dissertation.
Your tasks:
- Further development of methods for model reduction of distributed-parameter systems with a focus on the generation of real-time capable reduced models
- Combination of classical projection-based approaches and approaches from machine learning, including for the interpolation of reduced models
- Implementation of observers (linear and nonlinear Kalman filters, AI-based soft sensors) and controllers based on reduced models
- Integration of reduced models into design and simulation methods for hydraulic, energy or process engineering processes
Table of Content
Summary
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Benefits
- Employment at one of Germany's largest universities, part of the University Alliance Ruhr
- Collaboration in a dedicated and appreciative team
- A qualified training program
- Opportunities to participate in national and international scientific conferences
Requirements
- Master's degree with above-average success in mechanical engineering, electrical engineering, computer engineering or a comparable field
- sound knowledge of control engineering and dynamic systems, especially of linear algebra for control engineering
- Interest in methodological research and publishing, also in English.
- Programming skills in relevant languages ??such as matlab, python or C/C++, going beyond basic knowledge from programming courses.
- very good English skills and at least good German skills
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
February 16, 2026How To Apply
For more information, kindly visit Ruhr-Universität Bochum webppage.
