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Offer 322 out of 631 from 29/09/21, 15:18

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

Research Assistant - salary grade E13 TV-L Berliner Hochschulen

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 sub-project of the BZML under the direction of Prof. Dr. Klaus-Robert Müller.

Working field:

Research in the field of machine learning (ML); development of novel learning mechanisms and methods, that result in image representations that are both more robust and better generalize to out-of-distribution data compared to previous methods, in particular in low-resource domains in the area of medicine such as oncology where the distribution of classes often is non-uniform; design and optimization of variational methods that aim to compress continuous latent representations into interpretable coordinate spaces; software implementation in all these areas; PhD thesis preparation is possible.

Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Physics, Engineering, Applied Mathematics or a related field
  • Profound knowledge in linear algebra, statistics, and machine learning, in particular neural networks, deep generative models, matrix factorization and interpretability methods as well as variational inference
  • Practical experience with developing and applying machine learning algorithms
  • Solid programming skills, in particular experience with ML, bash scripting and linear algebra frameworks (PyTorch, TensorFlow, NumPy, JAX, etc.)
  • Excellent communication skills in German and English

How to apply:

Please send your written application, quoting the reference number, with the usual application documents to 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 or by e-mail (one PDF file, max. 5 MB) to: 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