AI Scientist: Physics Simulation & Foundation Models

Mistral; Linz; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Healthcare coverage

Relocation support

Meal and transportation allowances

Zusammenfassung

Mistral is seeking AI Scientists to push the frontier of AI-accelerated simulation, researching and training foundational physics models that can be fine-tuned for downstream applications. You will curate high-fidelity simulation data, design novel architectures, and rigorously evaluate them against engineering validation standards.

You’ll work across the full research stack, ensuring models are general enough to serve as backbone for multiple downstream products, with a focus on uncertainty

Qualifikationen

• PhD or Master’s in CS/AI or engineering science.
• Strong ML expertise with model architectures, training dynamics, and evaluation.
• Experience developing ML methods for simulation or surrogate modelling.
• Proficient Python coding; comfortable in Linux/HPC environments.
• Fluent English with excellent communication skills.
• Self-directed and collaborative.

Aufgaben

• 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 high-fidelity datasets.
• Investigate architectures and training strategies that enable a single foundation model to transfer across diverse engineering tasks.
• Rigorously evaluate model coverage, accuracy, and robustness against validation standards.
• Stay on top of the latest developments and contribute to Mistral’s standing at the frontier of AI-for-engineering research.

Kenntnisse

Machine learning

Python

Surrogate modelling

Engineering physics

Communication

Self-directed

Ausbildung

PhD in CS/AI or Engineering Science

Master’s in CS/AI or Engineering Science

Tools

OpenFOAM

LS-DYNA

Abaqus

COMSOL

NekRS

Jobbeschreibung

Mistral is seeking AI Scientists to push the frontier of AI-accelerated simulation, researching and training foundational physics models that can be fine-tuned for downstream applications. You will curate high-fidelity simulation data, design novel architectures, and rigorously evaluate them against engineering validation standards.

You’ll work across the full research stack, ensuring models are general enough to serve as backbone for multiple downstream products, with a focus on uncertainty