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Postdoctoral position (36 months) - Design of targets for Inertial Confinement Fusion (ICF) for energy production (TARANIS project)

ABG-121746 Job Any
2024-03-26 Fixed-term 36 Month > €35,000 and < €45,000 annual gross
Logo de
CEA / Université de Bordeaux
- Nouvelle Aquitaine - France
Engineering sciences
  • Mathematics
  • Physics
Fusion, Energy, FCI, Laser, Physics, Mathematics, Numerical simulation, Modelling, Scientific computing, Computational code, Artificial intelligence, Artificial neural networks, Autoencoders
Research and Development

Employer

This position is funded by the French Alternative Energies and Atomic Energy Commission (CEA).

The place of work will be the CELIA (Centre Lasers Intenses et Applications) laboratory at the University of Bordeaux.

Position and assignments

Postdoctoral position (36 months) at CELIA (University of Bordeaux, France)

Title: Design and optimisation of targets for Inertial Confinement Fusion (ICF) for energy production (TARANIS project)

Context

  • First controlled fusion reaction (2022) with energy gain at the National Ignition Facility (NIF) in Indirect Drive.
  • Dynamics: significant national and European commitment to fusion research for energy.
  • TARANIS project (2024), led by Thales and supported by the BPI France call for projects; in collaboration with scientific partners such as CEA/DAM, CELIA, LULI and CPHT.

Objectives

  • Design inertial confinement fusion (ICF) targets for energy production.
  • Contribute to the development specifications for a new laser installation for direct-drive ICF experiments.

Tasks

  • Calibration and improvement of existing simulation tools at CELIA.
  • Development of a semi-analytical approach to ignition and gain using these simulation tools.
  • Exploring applications of Artificial Intelligence to optimise and enhance the robustness of ICF targets.

Tools

  • Simulations : Use of CELIA's multidimensional radiative hydrodynamic simulation codes.
  • AI: Implementation of optimisation tools, including artificial neural networks and autoencoders.

Candidate profile

  • Education: PhD in physics (knowledge of plasma physics is a plus) or applied mathematics (a strong interest in physics and artificial intelligence is a plus).
  • Experience: Demonstrated expertise in scientific computing codes (Fortran, C++, Python); knowledge of artificial intelligence techniques is a plus.

Details

  • Workplace: Talence, near Bordeaux, France, in the IFCIA team at the CELIA laboratory.
  • Supervision: J.-L. Feugeas, M. Bardon, D. Raffestin, V. Tikhonchuk.

Contact

  • Jean-Luc Feugeas (CELIA) 

 

Geographic mobility:

No business trip

Telework

Part time

Profile

Candidate profile

  • Education: PhD in physics (knowledge of plasma physics is a plus) or applied mathematics (with a strong interest in physics and artificial intelligence).
  • Experience: Demonstrated expertise in scientific computing codes (Fortran, C++, Python); knowledge of artificial intelligence techniques.

Details

  • Workplace: Talence, near Bordeaux, France, in the IFCIA team at the CELIA laboratory.
  • Supervision: J.-L. Feugeas, M. Bardon, D. Raffestin, V. Tikhonchuk.

Contact

  • Jean-Luc Feugeas (CELIA) 

Goals

Objectives

  • Design inertial confinement fusion (ICF) targets for energy production.
  • Contribute to the development specifications for a new laser installation for direct-drive ICF experiments.

Tasks

  • Calibration and improvement of existing simulation tools at CELIA.
  • Development of a semi-analytical approach to ignition and gain using these simulation tools.
  • Exploring applications of Artificial Intelligence to optimise and enhance the robustness of ICF targets.

Tools

  • Simulations : Use of CELIA's multidimensional radiative hydrodynamic simulation codes.
  • AI: Implementation of optimisation tools, including artificial neural networks and autoencoders.
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