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Research Assistants (m/f/d) Control Theory and Dynamical Systems
TU Kaiserslautern has acquired a considerable reputation since its foundation in 1970. In national rankings, it has already achieved top positions in various categories and has been honored in the "Excellence in Teaching" competition. The TU Kaiserslautern benefits from successful cooperation with renowned research institutions located in the direct vicinity of the campus, s.a. the German Research Center for Artificial Intelligence (DFKI), the Fraunhofer Institute for Experimental Software Engineering (IESE), the Fraunhofer Institute for Industrial Mathematics (ITWM) and the Max Planck Institute for Software Systems (MPI-SWS).
The Department of Mechanical and Process Engineering at the TU Kaiserslautern has currently opened two research positions, which are to be fulfilled at the earliest possible date, yet latest by March 2020:
Research Assistants (m/f/d):
Control Theory and Dynamical Systems
Doctorate - Habilitation
We offer interesting and challenging positions in an interdisciplinary research team (Chair Prof. Dr.-Ing. N. Bajcinca), which focuses on modern methods of control and systems theory, including machine learning. The research program of the successful candidates is to be carried out in one or more of the following areas:
- Hierarchical and distributed model predictive control (MPC)
- Reinforcement learning and machine learning
- Mixed-integer optimization and scheduling
- Control of PDEs
- Hybrid dynamical systems
- Stochastic dynamical systems.
Optionally, the methodological work can be combined with applications in:
- Mobile and cooperative robotics
- Autonomous driving
- Deep learning and visual computing / SLAM
- Energy and production technology
- Systems biology and process engineering
- Embedded systems and mixed-criticality.
Applicants should have completed studies in mathematics, electrical engineering, control engineering, or computer science with an outstanding record and have demonstrated excellent abstract thinking capabilities. Experience in specific mathematical areas, including optimization, probability theory, partial differential equations or dynamic systems is desirable. The willingness to be integrated into the current teaching program of the chair, as well as an interest in completing a doctoral thesis or habilitation are expected.
For a full consideration, the application documentation must have been received by January, 7th 2020.
The employment contract is based on the provisions of the German federal public service (TV-L, E13) and is limited in time. If suitably qualified, severely disabled persons will be given preferential treatment. We strongly encourage qualified female academics to apply. Applicants with children are welcome.
Prof. N. Bajcinca will be happy to answer any inquiries and provide you with further information on this position by phone at +49 (0)631/205-3230 or email (see below). Please send your application forms (in form of a single PDF file), including a cover letter, curriculum vitae, university certificates, publication list, if applicable, and references by e-mail to email@example.com.