under the reserve that funds are granted - part-time employment may be possible
The Berlin Institute for the Foundations of Learning and Data (BIFOLD) of the TU Berlin (Prof. Dr. Klaus-Robert Müller) is looking for a research assistant for an agility sub-project (AP) of the BZML, headed by Dr. Grégoire Montavon.
Research in the field of machine learning; development of methods for representation learning and domain adaptation, based on the Wasserstein distance (optimal transport). Development of Explainable AI techniques to understand the models and their training. Applications in the medical domain.
Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Physics, Engineering or Applied Mathematics
Profound knowledge in machine learning, in particular optimal transport, representation learning, neural networks, explainable AI
Solid programming skills, in particular experience with deep learning frameworks (PyTorch, TensorFlow etc.)
Existing publications relevant to the field is a plus
Experience with big data and training of ML models on GPUs is a plus
Interdisciplinary and collaborative project experience is a plus
Very good knowledge of written and spoken English required, knowledge of German desirable or willingness to learn it
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 Dr. Grégoire Montavon at 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 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, Dr. Montavon, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin