Technische Universität Berlin offers an open position:
Part-time employment may be possible; under the reserve that funds are granted
The post holder will conduct independent research into generative learning methods with application in the field of generative design of hydrogen burners for gas turbines.
Numerical experiments with deep learning frameworks, such as PyTorch or Tensorflow, for inverse design using invertible neural networks will be carried out and the simulation results will be evaluated for physical and statistical suitability. The position holder will write scientific papers on the topic of the "Turbo Transition" project and participate in the activities of the Turbo consortium and the research network "Effiziente Energieumwandlung" as part of the project. The candidate will also maintain the exchange with the industrial partner Siemens Energy.
The research assistant supports teaching with 1 semester hour per week.
Desirable:
For further information about the position, please contact Prof. Dr. Gottschalk (gottschalk@math.tu-berlin.de).
Please send your application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) by email to Prof. Dr. Gottschalk (gottschalk@math.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/ .
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. Applications from people of all nationalities and with a migration background are very welcome.
Technische Universität Berlin - Die Präsidentin - Fakultät II, Institut für Mathematik, FG Mathematische Modellierung von industriellen Lebenszyklen, Prof. Dr. Gottschalk, Sekr. MA 5-4, Str. des 17. Juni 136, 10623 Berlin
ID: 188485