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Job Description

We are looking for a skilled and enthusiastic scientist to join our Data-Driven Engineering team, who is interested in applying simulation, data-driven methods and advanced numerical techniques to target design and high energy density physics.

You will have practical experience in hydrodynamic and magnetohydrodynamic simulation, together with an interest in applying optimisation and modern computational methods to complex physics and engineering problems. You will work closely with physicists, engineers and experimental teams to design and improve fusion targets and related technologies for First Light Fusion’s driver platforms.

The role will involve using in-house simulation tools to study target behaviour, understand the physical processes that determine performance, and guide design choices. You will also contribute to the analysis of large ensembles of simulations, identify meaningful trends and support efficient design iteration.

In addition, you will support colleagues across the company through technical input on target design and simulation analysis, and contribute to collaborations with external partners where appropriate. This role is available at the scientist level, with the possibility to appoint at the senior level for an exceptional candidate.

Accountabilities and deliverables:

• Use in-house magnetohydrodynamic (MHD) and multiphysics simulation tools to design innovative target concepts and improve existing ones.
• Carry out detailed simulations to understand the dynamics and physical processes governing target performance.
• Apply AI, machine learning and numerical optimisation methods to analyse large simulation datasets, identify trends and support design decisions.
• Work with colleagues across computational physics, design and experiment to help close the design loop.
• Provide technical input to colleagues in the interpretation of simulation results and the development of target designs.
• Take ownership of defined technical tasks or work packages, delivering high-quality work to agreed timelines.
• Communicate and record your work in technical meetings, presentations and written reports.
• Contribute to collaborations with external partners, academic groups and research institutions where relevant.

Core skills, knowledge and attributes:

Essential

• PhD in a STEM subject, or equivalent industry experience.
• Strong background in compressible hydrodynamics, shock physics and simulation-based analysis and design.
• Proven ability to use numerical modelling tools to study complex multiphysics systems.
• Hands-on programming experience relevant to scientific computing and simulation workflows.
• Track record of planning and delivering technical work effectively.
• Strong communication and interpersonal skills.
• Ability to collaborate effectively with a diverse team of scientists and engineers.

Desirable

• Knowledge of high energy density physics, and/or inertial fusion.
• Experience in the design and development of high-energy-density targets for experimental campaigns on major international facilities.
• Experience with magnetohydrodynamics modelling and simulation.
• Familiarity with machine learning, surrogate modelling and advanced optimisation methods.
• Good understanding of software engineering best practice, including version control, testing and reproducibility.
• Knowledge of numerical methods used in hydrodynamics and MHD simulation codes.
• Experience working with High Performance Computing systems.