3 PhD students : foundations of neuroexplicit models
Dietrich Klakow
The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for
3 PhD students - 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. Potential thesis topics include:
Compactly describable neural networks
Learnability of dynamical systems
Neural networks with a causal world model
Auxiliary tasks for robust sequential decision-making
Enforcing neural network stability during learning
And many more.
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 ap...@neuroexplicit.org 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.
Tell us which up to three PIs you would most like to work with.
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: https://www.neuroexplicit.org/jobs/.