[Opt-Net] PhD student (E13, 100%) Deep Learning for Dynamical Systems

[Dietrich Klakow]

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


*1 PhD student (E13, 100%), September 2024*

*with the specific topic:*

Deep Learning for Dynamical Systems


Neuroexplicit models combine neural and symbolic models, but also study 
how explicit information (e.g. from physics) can be learned by deep 
neural networks. In this specific PhD topic we will explore methods how 
deep neural networks can learn the dynamics of complex systems in physics.

In the RTG, we will improve the state of the art in natural language 
processing (“Language”), computer vision (“Vision”), and planning and 
reinforcement learning (“Action”) through the use of neuroexplicit 
models and investigate the cross-cutting design principles of effective 
neuroexplicit models (“Foundations”). This PhD topic will be in the 
foundations area.


The RTG is scheduled to grow to a total of *24 PhD students and one 
postdoc* by 2025. Through the inclusion of ~20 further PhD students and 
postdocs funded from other sources, it will be one of the largest 
research centers on neuroexplicit or neurosymbolic models in the world. 
The RTG brings together researchers at 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). All of these 
institutions are colocated on the same campus in Saarbrücken, Germany.


The *PhD position will be funded for up to four years at the TV-L E13 
100% pay scale *(which is about 4188€ per month before tax and social 
security contributions). You should have or be about to complete an MSc 
degree in physics, mathematics or computer science or a related field 
and have demonstrated expertise in research e.g. through an excellent 
Master’s thesis or a relevant publication.


The RTG is part of the Saarland Informatics Campus, one of the *leading 
centers for research* in computer science, artificial intelligence, and 
natural language processing in Europe. The Saarland Informatics Campus 
brings together 900 researchers and 2500 students from 81 countries. The 
CISPA Helmholtz Center, located on the same campus, is home to an 
additional 350 researchers and on track to grow to 800 by 2026. 
Researchers at SIC and CISPA are part of the ELLIS network and have been 
awarded more than 35 ERC grants.


For this research topic Joachim Weickert and Dietrich Klakow will be the 
supervisors.


We look forward to receiving your meaningful online application (in a 
single PDF file) with 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 how you would approach
    the problem of deep learning for dynamical systems

  *

    Names and e-mail addresses of two academic references.


Please send your application by **21 June 2024** to 
_apply at neuroexplicit.org_ .


Include the reference number *W2487* in your application. We aim to 
conduct job interviews in July.
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