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As the sole technology and natural sciences University in the state of Rheinland-Pfalz, the TU Kaiserslautern has acquired an impressive reputation since its foundation in 1970. It has been given top rankings in a number of categories and continues to profit from the direct campus presence of renowned research institutions including the German Research Centre for Artificial Intelligence (DFKI), the Fraunhofer Institutes for Experimental Software Engineering (IESE) and Industrial Mathematics (ITWM) and the Max-Planck Institute for Software Systems.

In the Faculty of Mechanical and Process Engineering there are currently open a few of research assistant positions in the area of dynamical systems and control.


Research Assistant in Complex Dynamical Systems (f/m) 
(PhD Position)



The central goal of research consists in developing theoretical bases for holistic approaches to design and analysis of dynamical systems in heterogenous domains. Instances of research projects include topics in:
  • hybrid and switched dynamical systems
  • event-triggered and discrete-event systems
  • control of partial differential equations, and
  • stochastic control.

Possible applications are to be defined but are not limited to:
  • collaborative robotics
  • network dynamics and cyber-physical systems
  • scheduling and coding
  • machine learning in distributed systems
  • systemy biology and chemical engineering, and
  • power systems and smart grids.

Applicants should have successfully completed university studies in the field of control, mathematics, computer science, physics, or electrical engineering. They have proven excellent mathematical and abstract reasoning skills.

Credits will be given to the experience in specific mathematical areas, e.g. optimization, stochastics, partial differential equations and dynamical systems. 

The employment contract is based on contracts for the civil service (TVöD-Bund) and either will initially be time limited. TU Kaiserslautern is committed to increasing the number of women in those areas where they are underrepresented and especially encourages them to apply. Under same qualifications, preference will be given to disabled candidates (please enclose supporting documents).

Contact detail


How to apply:
Additional questions will be answered gladly at +49 (0) 631 205 3230. Applications accompanied by supporting documentation in English or German (CV, certificates, credentials, list of publications if any, 3 selected preprints if any, as well as the names and addresses of 3 references) should be prefe­rably submitted in electronic form at mec-apps@mv.uni-kl.de.
Send application to
Phone: +49 631 205 3230
Email: mec-apps@mv.uni-kl.de

Address:
Department of Mechanical and Process Engineering, 
University of Kaiserslautern, 
Gottlieb-Daimler-Straße, Postfach 3049, 
67663 Kaiserslautern

Job profile


Working hours
Can be Full-Time or Part-Time
Contract duration
Temporary
Type of job
PhD Project
Work experience
job experience is not required
Region
Germany (Rheinland-Pfalz)
Working place
67663 Kaiserslautern
Area of expertise
Mathematics, Healthcare & Public Health, Biology & Life Sciences, Biotechnology, Business Informatics, Chemical & Process Engineering, Computer Sciences, Electrical Engineering, Pharmaceutics, Physics, Mechatronics, Medical Engineering, Pharmaceutical Engineering
APPLY NOW