Technische Universität Berlin - Fakultät III - Institut für Prozess- und Verfahrenstechnik - FG Dynamik und Betrieb technischer Anlagen
Research Assistant - salary grade E 13 TV-L Berliner Hochschulen
under the reserve that funds are granted; part-time employment may be possible
The Process Dynamics and Operations Group is looking for a new colleague for participation in an exciting new research project on experimental design and parameter estimation using methods of Machine Learning . Specific tasks within the project are:
Modification and operation of an experimental test stand for dynamically operated esterification
Modification and extensions of a framework for parameter estimation to incorporate various ragularization methods emplying techniques from Machine Learning
Realization of optimal experiment designs in cooperation with partners at Fraunhofer ITWM
The department is based in based in chemical engineering, but candidates from other engineering disciplines and backgrounds are always welcome. Regarding the described position, we are interested in colleagues with the following qualifications:
Successfully completed university degree (Master, Diploma, or equivalent) in a suitable discipline (Process Engineering, Chemical Engineering or similar)
excellent knowledge in chemical engineering, particularly on modelling of systems in chemical engineering
Required are experiences in design and operation of experimental test stands and in analytics of liquid phases (e.g. by HPLC or GC)
Good programming skills in Matlab or Python are expected
We are a very international team. Hence, language skills in English are always of help and we expect you are
willing to learn German
Autonomous, well organized applicants are preferred
How to apply:
Please send your application with the reference number and the appropriate documents (in a single pdf file, max 5 MB) only by email to Dr. Erik Esche (email@example.com).
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranee 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 III, Institut für Prozess- und Verfahrenstechnik, FG Dynamik und Betrieb technischer Anlagen, Dr. Erik Esche, Sekr. KWT 9, Straße des 17. Juni 135, 10623 Berlin