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Offer 166 out of 373 from 31/05/24, 10:07

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Technische Universität Berlin - Faculty IV - The Berlin Institute for the Foundations of Learning and Data (BIFOLD)

Technische Universität Berlin offers an open position:

Research Assistant - salary grade E13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate)

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 the research group under the direction of Prof. Klaus-Robert Müller.

Working field:

Research at the intersection of deep learning and explainable machine learning, as well as histopathology or quantum chemistry; characterization und modelling of domain-informed deep neural networks; analysis of domain-specific deep neural networks with explainable machine learning; development of methods to identify learned concepts of (transformer-based) deep neural networks; post-hoc correction of deep neural networks; knowledge extraction from domain-specific deep neural networks; software implementation of machine learning methods; teaching duties.

Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Physics, Engineering or Applied Mathematics
  • Profound knowledge especially in deep learning and explainable machine learning, as well as applications in the medical domain (histopathology, oncology) or in quantum chemistry
  • 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 autodifferentiation packages (JAX, PyTorch, SciML) and linear algebra libraries (Julia, Numpy, BLAS etc.)
  • Excellent communication skills in German and English
  • Practical experience in the fields of histopathology or quantum chemistry is an advantage
  • The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills

How to apply:

Please send your written application, quoting the reference number, with the usual application documents to Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Maschinelles Lernen, Prof. Dr. Klaus-Robert Müller, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin or by e-mail (one PDF file, max. 5 MB) to: jobs@bifold.berlin.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee 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