Postdoctoral Fellowship: Neural Networks an d Tropical Geometry – Toulouse

Dear colleagues,

We are pleased to announce a postdoctoral fellowship opportunity in the 
interdisciplinary field of neural networks and tropical geometry, funded 
through the "Combining Polynomial Optimization and Machine Learning" 
(POPML4PS) chair of the ANITI AI cluster.

Position Overview:
The successful candidate will work with Mateusz Skomra (LAAS-CNRS, 
Toulouse) and Georg Loho (FU Berlin) on research at the intersection of 
discrete/tropical geometry and machine learning. The project aims to 
leverage tropical and discrete geometric tools to advance theoretical 
understanding and practical applications of neural networks, especially 
those using ReLU activation functions.

Key Research Directions (non-exhaustive):

     Exploring neural networks as models of computation
     Static analysis and robustness certification of ReLU neural networks
     Studying geometric objects associated with ReLU networks using 
tropical geometry

Location, duration, and salary:
The position is based at LAAS-CNRS in Toulouse, France, within the POP 
team led by Victor Magron. The contract is for 12 months, with a 
possible extension for another 12 months. The position offers ample 
travel funding and the remuneration is according to the candidate profile.

Requirements:
We seek candidates with a strong background in tropical geometry, 
mathematical foundations of machine learning, or related areas, and 
basic programming skills. A PhD in mathematics, computer science, or a 
related field is required, along with a strong publication record.

Application Process:
Applications should include a full CV including list of publications, a 
motivation letter (max. 2 pages), and the names of potential referees. 
Please send your application to Georg Loho 
([email protected]) and Mateusz Skomra 
([email protected]), with “Postdoc candidate NNTG” in the subject line.

Timeline:
Applications received by May 31, 2026, will receive full consideration. 
However, we will continue to accept late applications until the position 
is filled.

We welcome applications from all qualified candidates and encourage 
underrepresented groups to apply.

For further details, please refer to the announcement on the website 
https://homepages.laas.fr/mskomra/ or contact us directly.

Best regards,

Georg Loho and Mateusz Skomra

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