AI Scientist: Foundation Physics Simulations

Mistral

Linz

On-site

EUR 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage
Relocation support
Wellness programs

Job summary

Mistral is seeking AI Scientists to advance foundation models for physics simulation. You will research and train models, curate high-fidelity datasets, and push the frontier of AI-for-engineering. You will design architectures, run large-scale simulation campaigns on HPC clusters, and ensure models generalize across engineering tasks.

English communication and Python/Linux proficiency are essential. Join a distributed team across Europe, North America, Asia and the Middle East, contributing to

Qualifications

  • PhD or Master's in CS/AI or engineering science.
  • Hands-on ML expertise with model architectures and evaluation.
  • Experience in simulation or surrogate modelling.
  • Proficiency in Python and Linux/HPC.
  • Strong English communication.

Responsibilities

  • Research and train novel foundation models for physics simulation.
  • Design and run large-scale simulation campaigns using domain-specific solvers.
  • Investigate architectures and training strategies for transfer and fine-tuning across tasks.
  • Rigorously evaluate model coverage, accuracy, and robustness against validation standards.
  • Stay abreast of scientific developments and contribute to AI-for-engineering research.

Skills

Machine learning
Python
English
Linux/HPC
Self-directed
Collaboration

Education

PhD or Master's in CS/AI or related field

Tools

OpenFOAM
LS-DYNA
ANSYS
COMSOL
Abaqus
Fluent

Job description

Mistral is seeking AI Scientists to advance foundation models for physics simulation. You will research and train models, curate high-fidelity datasets, and push the frontier of AI-for-engineering. You will design architectures, run large-scale simulation campaigns on HPC clusters, and ensure models generalize across engineering tasks.

English communication and Python/Linux proficiency are essential. Join a distributed team across Europe, North America, Asia and the Middle East, contributing to

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