Applied Scientist / Domain Expert, AI4Engineering - EMEA

Mistral; Linz; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Mistral, a leader in full-stack AI solutions, seeks a highly qualified researcher to design and run large-scale simulation campaigns and to train AI models on physics data. You will build tools for automated data creation, manage simulation pipelines, and evaluate model performance against industry standards.

You will collaborate with the science team on training runs, diagnose failure modes, and steer research projects and client communications with engineering groups.

Qualifikationen

• PhD in physics or engineering required.
• 5+ years of industry experience in Automotive, Aerospace or Semiconductors.
• Interest in machine learning and ML integration with simulation.
• Able to explain complex simulation concepts to both engineers and non‑technical audiences.

Aufgaben

• Design and run large-scale simulation campaigns using domain-specific solvers.
• Run training of AI models on physics data with rigorous evaluation.
• Build tools for automated dataset creation, simulation pipeline management, and model evaluation.
• Collaborate with science/research teams on training runs and diagnose failures.
• Manage research projects and client communications with engineering teams.

Kenntnisse

Fluent English

Self-directed

Collaborative

Excellent communication

Ausbildung

PhD in physics or engineering

Tools

OpenFOAM

ANSYS

COMSOL

Abaqus

Jobbeschreibung

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co‑creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low‑ego and team‑spirited.

What You Will Do

• Design and run large-scale simulation campaigns using domain‑specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus)
• Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards
• Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation
• Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations
• Manage research projects and client communications with engineering teams

About You

• Fluent English with excellent communication skills – able to explain technical simulation concepts to both engineering and non‑technical audiences
• Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning.
• 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

It would be great if you

• Have a deep passion for machine learning
• Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent)
• Have applied ML methods to simulation or surrogate modelling
• Have experience automating large-scale simulation campaigns on HPC clusters
• Have contributed to a large open‑source or industry codebase
• Have publications in engineering or ML venues (NeurIPS, ICLR, etc.)
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines

What we offer

We offer a comprehensive benefits package designed to support your well‑being, growth, and work‑life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location‑specific perks.

For the most up‑to‑date details on benefits available in your location, please refer to our Benefits page.

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