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PhD Position: Deep Learning for Dynamical Systems

University of Saarland
Saarbruecken, Germany
Posting live until
23 Jun 2024

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for

PhD student - September 2024

Neuroexplicit models combine neural and human-interpretable (“explicit”) models to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, and also e.g. combinations of neural networks with, e.g., physics-informed or causal models. a specific thesis topic is:

  • Deep Learning for Dynamical Systems

The RTG is scheduled to grow to 24 PhD students by 2025; the first six PhD students started in late 2023. And each PhD student is co-supervised by two advisors, from renowned institutions: Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI).

Please submit your application by 21 June 2024 by email to and be sure to include the reference number W2487. We aim to conduct job interviews in July.

Please attach a single PDF file containing the following information:

  • A CV that describes your education and work history, any particular achievements, and your publications (if any).
  • Transcripts of your academic degrees and, if possible, a copy of your MSc diploma.
  • A research proposal (1-2 pages) that outlines your research interests for the topic of the RTG.
  • The topic will be supervised by Joachim Weickert, Verena Wolf and Dietrich Klakow. Add those names to your application.
  • The names and email addresses of two academic references.

For details on what materials to submit with your application and all other information about the RTG, please see our website: 



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