AI Scientist - Physics Models

Mistral
Paris, Amsterdam, Munich, London, Berlin
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Self-directed","Collaboration","Low-ego","Learning mindset"]

Research and train foundational physics models that accelerate high-fidelity engineering simulation. Curate physics simulation datasets, design and train novel architectures, and run large-scale simulation campaigns using domain-specific solvers. Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, diagnosing failure modes and improving uncertainty and out-of-distribution estimation. Collaborate with the broader research organization to build transferrable foundation models for downstream engineering tasks.

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FursaFursa
Mistral
Mistral
2 days ago

AI Scientist - Physics Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 minutes agoStatus: Live

Job Summary

Research and train foundational physics models that accelerate high-fidelity engineering simulation. Curate physics simulation datasets, design and train novel architectures, and run large-scale simulation campaigns using domain-specific solvers. Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, diagnosing failure modes and improving uncertainty and out-of-distribution estimation. Collaborate with the broader research organization to build transferrable foundation models for downstream engineering tasks.
Location: Paris, Amsterdam, Munich, London, Berlin
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Research and train novel foundation models for physics simulation to improve accuracy, generalization, and scale.
  • •Design and run large-scale simulation campaigns using domain-specific solvers to build high-fidelity datasets.
  • •Investigate architectures and training strategies (e.g., multi-fidelity training, pretraining objectives, scaling behavior) for transfer and fine-tuning across engineering tasks.
  • •Evaluate model coverage, accuracy, and robustness against industry validation standards, diagnosing failure modes.
  • •Stay current with scientific community developments and contribute to frontier AI-for-engineering research.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •PhD or Master's in CS/AI or an engineering science (e.g., Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics).
  • •Strong, hands-on machine learning expertise, including model architectures, training dynamics, and evaluation methodology.
  • •Developed ML methods for simulation or surrogate modeling.
  • •Wrote clean, readable Python code and comfortable in Linux/HPC environments.
  • •Demonstrated success via industrial projects, academic work, or personal projects.
Experience:SimulationSurrogate modellingAI-for-scienceHPCOpen-source
Education:PhD / Doctorate in CS/AI or an engineering science (e.g., Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering)
Skills:CommunicationSelf-directedCollaborationLow-egoLearning mindset
Languages:English
Tech Stack:PythonLinuxHPCOpenFOAMLS-DYNAANSYSCOMSOLAbaqusFluentSTAR-CCM+PowerFlowNekRSTau/CODAJAX-FluidsCadenceSynopsysSiemens EDAAIAAASMENeurIPS

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn