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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Machine Learning

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

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

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin is looking for a research assistant for a research group of the BZML under the direction of Prof. Klaus-Robert Müller.

Work­ing field:

  • Research at the intersection of machine learning and differential geometry
  • Development of robust methods to explain Neural Network classifier decisions
  • Theoretical and practical analysis of explanation methods, connecting explanation methods with generative models
  • GANs, Nfs, VAEs
  • Manifold learning

Require­ments:

  • Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Physics, Engineering or Applied Mathematics
  • Profound knowledge in machine learning, differential calculus.
  • Practical experience in the development and application of machine learning algorithms, as well as parallel computing on GPUs
  • Solid programming skills, especially experience with ML and linear algebra libraries (Julia, SciML, JAX, PyTorch, etc.)
  • Excellent communication skills in German and English

How to ap­ply:

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. Klaus-Robert Müller at office@bzml.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 Softwaretechnik und Theoretische Informatik, FG Maschinelles Lernen, Prof. Dr. Klaus-Robert Müller, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin