Scientist – Data-Driven Engineering
SKILLS
FULL DESCRIPTION
Summary
We are looking for a skilled and experienced scientist or engineer to help develop our unique hydrodynamic amplifier and inertial fusion target technology. You will develop amplifier technology for fusion targets and material/impact testing, working with a skilled team using in-house hydrocodes and AI & ML tools.
- Use in-house hydrodynamic and magnetohydrodynamic codes.
- Run simulations to understand dynamics and physical processes.
- Use AI & ML tools for analysis and optimization.
- Provide specialist technical support and training.
Essential skills include a PhD in STEM, knowledge of Fluid Dynamics and CFD, experience using simulation tools, ability to work in a team, and strong communication skills.
Job Description
Role Purpose We are looking for a skilled and experienced scientist or engineer to help develop our unique hydrodynamic amplifier and inertial fusion target technology. In this role, you will develop our amplifier technology for use in fusion targets as well as in novel material and impact testing applications. You will work with a highly skilled team of scientists and engineers taking a simulation-led development approach using our in-house developed hydrocodes and accelerated using latest AI & ML tools. Additionally, you will further develop the team’s simulation and AI & ML tools, improving the development cycle. [Employer hidden — view at passion-project.co.uk] operates with its own experimental and manufacturing facilities, enabling us to move quickly and innovate. This will allow your ideas to progress from a basic concept to a working experiment over a short period of time. To facilitate this, you will collaborate across the company, using your expertise to ensure that targets are designed, manufactured, and fielded on experiments in a way that maximises performance. You will also act as a source of knowledge and experience, that other employees within the company can draw on when pursuing their own ideas.
Accountabilities and deliverables
• Use our in-house hydrodynamic and magnetohydrodynamic codes to invent new targets and develop current ones, aiming to achieve the highest possible pressures, velocities and fusion yields from [Employer hidden]’s driver machines. • Run simulations to understand in-depth the dynamics and physical processes at work within our targets. • Use AI & ML tools to analyse results of ensembles of simulations, identify trends and perform numerical optimisation. • Provide specialist technical support and training, aiding other employees at [Employer hidden] to develop their own target designs and interpret their results.
Essential
• PhD in a STEM subject, or equivalent industry experience. • Knowledge of Fluid Dynamics and experience in Computational Fluid Dynamics (CFD) simulation. • Proven track record of using simulation tools to design and develop complex, multiphysics based systems. • Ability to work effectively as part of a multidisciplinary team. • Strong communication and interpersonal skills.
Desirable
• Knowledge of high energy shock physics or inertial fusion physics. • Experience developing fusion target designs for experiments on international facilities. • Experience in Magnetohydrodynamics (MHD) simulation and modelling. • Experience with Machine Learning and other advanced optimisation methods. • Knowledge of Software Engineering good practice. • Experience using High Performance Computing systems. • Understanding of the numerical methods used in hydrodynamics codes. • Programming experience in Python, C++ or Fortran.
Package
• Competitive salary • 25 days annual leave + bank holidays (holiday increase based on service) • 40 hour working week • Office based in Oxford (flexible working options may be available on request) • Free lunch, snacks and soft drinks • Cycle to work scheme • Electric vehicle scheme • 8% employer pension contribution without matching requirements