Numerical Modeling Engineer

Proxima Fusion is Europe’s fastest-growing fusion company and the continent’s best-funded fusion player, as well as the first spin-out from the Max Planck Institute for Plasma Physics (IPP). Backed by over €650M and powered by a growing team across Munich, Zurich, and Oxford, we are developing the hardware and infrastructure needed to deliver the world’s first commercial stellarator fusion power plant.

Our concept advances the most mature fusion technology out there, the Wendelstein 7-X stellarator, through two next-generation machines: Alpha and Stellaris. Our work combines stellarator optimization, advanced computation, machine learning, and high-temperature superconducting magnets to unlock higher-performance designs that were previously out of reach.

Turning these designs into a functioning fusion power plant requires excellence and ownership across every discipline, from physics and engineering to software, manufacturing, law, and business functions.

At Proxima Fusion, we are designing the first generation of fusion power plants to provide the world with clean, carbon-free energy. The heart of our reactor lies in its superconducting coils. These magnets operate at cryogenic temperatures, generate extreme magnetic fields, and must remain stable under complex electromagnetic and thermal transients.

We are looking for a Numerical Modeling Engineer to develop high-fidelity simulation tools that predict and de-risk the behavior of our superconducting magnets. Your work will span electromagnetic, thermal, and transient multiphysics modeling - including quench dynamics - and will directly inform design decisions for conductors, coils, and protection systems.

This role is not about running black-box simulations. It is about building robust numerical frameworks - combining commercial multiphysics tools with in-house developed models - to enable fast, reliable, physics-driven engineering decisions.

Your work will combine physics modeling, numerical implementation, and close collaboration with magnet designers and experimental teams. You will contribute across three primary domains:

You will develop predictive models of superconducting magnet behavior across steady-state and transient regimes.

We are looking for a rigorous numerical thinker who enjoys bridging fundamental physics and practical engineering.

• Degree (MSc or PhD) in Electrical Engineering, Applied Physics, Computational Engineering, or a related field.

• Strong foundation in electromagnetics and physics-based numerical modeling (e.g., FEM, nonlinear coupled systems), with the ability to implement and extend models programmatically

• Experience with multiphysics and transient simulations (e.g., electromagnetic–thermal coupling, fast transients).

• Proficiency in at least one scientific programming language (Python, MATLAB, C++, or similar), with interest in developing internal modeling tools and workflows.

• Electromagnetic numerical modeling

• COMSOL or other commercial FEM tools.

• Modeling of high-current or high-field devices.

• Thermal modeling and heat transfer in complex systems.

• Experience building internal engineering tools rather than relying purely on GUI-based workflows.

• You question assumptions and validate results critically.

• You are comfortable building models from first principles.

• You thrive in a startup environment where tools, processes, and standards are still evolving.

Prior experience with superconductors or HTS magnets is a plus - but strong electromagnetic and numerical expertise is the primary requirement.

• Recruiter Interview (30-60 min)

• Technical Screening (30 min)

• Technical Panel (3x60 min)

*This role sits at L3 of our framework, please inquire during the recruitment process for further information.

At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don’t look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.