PhD Position in Efficient Coupling of Parallel Numerical Solvers and Deep Neural Networks
il y a 4 semaines
The field of AI for science is rapidly growing, focusing on the integration of deep learning-based techniques into traditional numerical simulations. This PhD position aims to investigate software solutions that enable the efficient and flexible coupling of deep models with highly parallel numerical simulation codes on supercomputers.
Research Objectives- Resource Sharing: How to share CPU and GPU resources on supercomputers effectively?
- Coupling Complexity: How to enable coupling without significantly increasing the application software complexity?
- Generalization: How to design a solution that is generic enough to adapt to various scenarios and codes, without requiring extensive customization efforts?
To address these challenges, the candidate will evaluate related work and existing coupling solutions, such as multiphysics code coupling, in-situ data processing, and workflow engines. The message passing parallel programming model supported by MPI is the standard approach for numerical simulation code parallelization, but the candidate will also consider alternative models, such as task-based and actor-based approaches.
RequirementsCandidates should have a Master in computer science, engineering degree or equivalent. PhDs in France are 3 years long and so the candidate will benefit from a 3 year contrat with INRIA to pursue her/his PhD and will get her/his PhD title from the Univ. Grenoble Alpes.
Candidates should have a strong taste for research with high technical and scientific skills, knowledge in machine learning, distributed/parallel computing. Good programming skills (C/C++, Python, Linux) that will enable them to develop prototypes, design and run large scale experiments on supercomputers to demonstrate the qualities of their scientific contributions.
Benefits- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (90 days / year) and flexible organization of working hours (except for intership)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage under conditions
1st and 2nd year: 2082 euros gross salary /month
3rd year: 2190 euros gross salary / month
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Saint-Martin-dHères, Auvergne-Rhône-Alpes, France INRIA Temps pleinResearch Opportunity at INRIAThe field of AI for science is rapidly growing, focusing on the integration of deep learning-based techniques into traditional numerical simulations. This PhD position aims to investigate software solutions that enable the efficient and flexible coupling of deep models with highly parallel numerical simulation codes on...
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Saint-Martin-dHères, Auvergne-Rhône-Alpes, France INRIA Temps pleinResearch Position at INRIAThe field of AI for science is rapidly growing, focusing on the integration of deep learning-based techniques into traditional numerical simulations. This PhD position aims to investigate software solutions that enable the efficient and flexible coupling of deep models with highly parallel numerical simulation codes on...
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