AI Scientist: Physics Foundation Models & Simulation

Mistral; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare coverage

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral is seeking AI Scientists to push the frontier of AI-accelerated physics simulation within AI4Engineering Science. You will curate high-fidelity simulation data, design and train novel model architectures, and evaluate them against engineering validation standards.

You will collaborate with a world-class research group to ensure foundation models generalize across tasks and become the backbone for downstream products.

Qualifications

• PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field
• Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
• You have developed ML methods for simulation or surrogate modelling
• You write clean, readable Python code and are comfortable in Linux/HPC environments
• Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences
• Self-directed, you don't need detailed roadmaps to make progress
• Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
• Demonstrated success through industrial projects, academic work, or personal projects

Responsibilities

• Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
• Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
• Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks
• Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
• Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research

Skills

Machine learning

Python

Research

Linux

HPC

Education

PhD or Master in CS/AI or Engineering

Tools

OpenFOAM

LS-DYNA

ANSYS

COMSOL

Abaqus

Job description

Mistral is seeking AI Scientists to push the frontier of AI-accelerated physics simulation within AI4Engineering Science. You will curate high-fidelity simulation data, design and train novel model architectures, and evaluate them against engineering validation standards.

You will collaborate with a world-class research group to ensure foundation models generalize across tasks and become the backbone for downstream products.