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Diffusion SCAI


Thèse : PHysics-based Learning for robUst fluid SIMulation
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Date limite de candidature : 31/05/2024

Thèse : Synthetic reacting flow generation from a non-dimensional elementary data-driven model
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Date limite de candidature : juillet 2024

Thèse à Saclay : IRSN – Méthodes avancées de traitement d’images de contamination de surface en particules
 
Poste permanent à Fontenay-aux-Roses : IRSN – Ingénieur données (Data Scientist)
 
Poste permanent à Cadarache : IRSN – Data scientist pour la simulation de l’incendie et des explosions

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Endhoven University of Technology

PhD, Numerical Linear Algebra tools in Scientific Machine Learning

The Scientific Computing group at TU Eindhoven is recruiting for a 4 year fully-funded PhD position to on “Numerical linear algebra (NLA) tools for Scientific Machine Learning (SciML)”. The position will be supervised by Prof. Victorita Dolean and Dr. Michiel Hochstenbach and the student will join the Centre for Analysis, Scientific Computing and Applications within the Mathematics and Computer Science department. Candidates with a Master degree in Applied Mathematics or a connected field with a strong mathematical and computational background are encouraged to apply.

The PhD project will explore the use of NLA tools in SciML  for the solution of large scale problems stemming from the discretisation of partial differential equations. Interaction between the field of NLA and optimisation will be explored, with the purpose of designing faster, more robust and reliable methods. Prior knowledge of traditional machine learning is not mandatory, but the candidate should be open to work at the interface of different research fields.

Applications will be considered until the position is filled, with a priority given to applications received before the 19th of May. 

The ideal starting date would be before October 2024 but some flexibility is possible. Full information can be found at https://jobs.tue.nl/nl/vacature/phd-on-numerical-linear-algebra-tools-in-scientific-machine-learning-1071179.html and inquiries can be directed to v.dolean.maini@tue.nl