Computational Scientist Scientific Machine Learning

Fusionality is building the measurement simulation and control stack for the fusion energy reactors of the future.

Spun out of EPFLs Swiss Plasma Center and backed by top investors our technology enables reliable operation real-time monitoring and analysis of high-temperature plasmas in fusion devices. We are founded by world-class experts at the intersection of fusion physics advanced control and AI (ex-Google DeepMind EPFL). We are assembling a founding engineering team in Lausanne to build our core technology platform.

We are looking for a Computational Scientist specialized in Scientific Machine Learning (SciML) to join our team. This job is for you if you know how to write numerical solvers that are fast correct and differentiable end to end and want to see them run against real plasma data and inside real control systems.

We are looking for a PhD-level or senior computational researcher for this role.

• Design implement and validate differentiable solvers in JAX for plasma physics problems such as free-boundary equilibrium transport and state estimation.

• Make them robust and fast enough for production use via advanced numerical techniques for differential equation time stepping as well as optimization of GPU/TPU performance.

• Using automatic differentiation for model calibration against experimental data parameter estimation and controller design and optimization working with our data and control engineers.

• Code ownership: quality testing verification against reference solutions packaging and documentation.

• Substantial code written in a differentiable framework. Our stack is in JAX Julia or PyTorch experts are very welcome if theyre happy to switch.

• Strong background in numerical methods for ODEs and PDEs: discretisation stiff and implicit solvers nonlinear and sparse linear solvers.

• Demonstrated ability to operate at the frontier of SciML Universal Differential Equations Neural ODEs and other emerging hybrid data-driven/mechanistic paradigms.

• Evidence of independent work at the highest level: a PhD or thesis published code that is used by others or an industry project you owned.

• Experience in the following fields an advantage but not strictly required:

• The JAX ecosystem: Diffrax Equinox Optax Lineax.

• Plasma fluid electromagnetic or other multiphysics simulation.

• Having led the design of a scientific codebase used by others.

• Play a key role at a dynamic fast-growing startup shaping the technical solutions and products from the ground up.

• Build cutting-edge technology to monitor and control plasmas in real fusion devices working side-by-side with leading plasma and control experts.

• Great working conditions located in Lausanne Switzerland a city and country known for its high quality of life.

• Competitive salary and equity compensation and benefits including immigration assistance.