Blätter-Navigation

Of­fer 327 out of 554 from 28/05/21, 18:17

logo

Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Energy and Automation Technology / Chair of Electronic Measurement and Diagnostic Technology

Research Assistant - salary grade E 13 TV-L Berliner Hochschulen

under the reserve that funds are granted - part-time employment may be possible

Work­ing field:

For fully automatic train operation and for optimised operations, both the trains and the infrastructure must be diagnosed. This also includes forecasting the remaining lifetime of the systems. In the third-party funded research project BerDiBa - Berliner Digitaler Bahnbetrieb (Berlin Digital Train Operation), modern procedures for diagnosis and remaining lifetime estimation are to be researched using machine learning methods, especially for the rails and individual train components. In addition to the diagnostic procedures, a digital twin will be researched, for which models must be developed.

Require­ments:

  • successfully completed scientific university studies (Master, Diplom or equivalent) in electrical engineering, computer engineering science, automotive systems design, automotive engineering, mechatronics, mechanical engineering, physical engineering sciences, computer science or computational engineering science.
  • good to very good knowledge of German; good to very good knowledge of English.
Desirable:
  • good to very good knowledge: Technical diagnosis, statistics and stochastics, machine learning, mechatronics, Modelling and simulation, programming in Python, C and MATLAB

How to ap­ply:

Please send your application with the reference number and the usual documents only by email to christine.beyer@tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Technische Universität Berlin - Der Präsident -
Fakultät IV, Institut für Energie- und Automatisierungstechnik,
FG Mess- und Diagnosetechnik, Prof. Dr. Gühmann,
Sekr. EN 13, Einsteinufer 17, 10587 Berlin