Senior Research Engineer

il y a 1 semaine


Orsay, Île-de-France INRIA Temps plein
About the Project

The TAU/A&O team at INRIA is seeking a highly motivated postdoctoral researcher to join our team and contribute to the development of a foundational large physics model for fluid simulations. This project aims to leverage machine learning and data-based modeling to reduce computational costs and improve the scalability and versatility of numerical simulations.

Key Responsibilities
  • Familiarize with existing solutions developed by the TAU team and study state-of-the-art approaches that leverage large models for science.
  • Manage the data generation process, including creating comprehensive training datasets from diverse CFD sources and augmenting these datasets with high-fidelity numerical simulations.
  • Design an efficient training strategy, potentially leveraging pre-training approaches from other large models.
  • Evaluate the model's generalization capabilities when fine-tuned for several specific tasks, and its performance compared to other existing machine learning methods for solving partial differential equations.
Key Activities
  • Maintain an up-to-date bibliography on the topic of machine learning for numerical simulations.
  • Conduct state-of-the-art research, including programming and model development.
  • Participate in team activities, including seminars and workshops.
  • Write scientific papers and present work at conferences.
  • Develop potential collaborations with academic and industrial partners.
Requirements
  • Hold a PhD in a related field such as machine learning, computational fluid dynamics, applied mathematics, or physics.
  • Have experience with developing and training large-scale machine learning models.
  • Possess strong programming skills, including Python and PyTorch.
  • Have the ability to conduct independent research as well as collaborate within an interdisciplinary team.
  • Have experience in publishing scientific papers.
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
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available
  • Social, cultural, and sports events and activities
  • Access to vocational training
  • Social security coverage
Compensation

2788 € gross / month



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