Job Description

Fusion power has the potential to provide the ultimate source of green, low-carbon energy. First Light Fusion is working on a novel approach to inertial fusion, where a small high-velocity projectile impacts into a target containing fusion fuel. Targets must harness the energy applied by the projectile, and focus it down to create the temperatures and densities required for fusion.


We are looking to recruit a scientist/engineer to help us to design these targets. In this role you will be encouraged to work creatively to find innovative solutions to complex technical problems. Your work will directly influence the shape of our fusion experiments. You will work regularly with scientists from a range of different specialisms, which will give you the opportunity to develop and apply your technical skills in a variety of areas.



Responsibilities will include

  • Be part of a team that creates and develops target designs, aiming to achieve the highest possible fusion yields from First Light Fusion’s driver machines
  • Use our in-house hydrodynamic and magneto-hydrodynamic codes to invent new targets and develop current ones
  • Develop our understanding of the physical processes at work within our targets
  • Use Python and other tools to analyse results and identify trends
  • Assist with the modelling and design of experiments in our lab
  • Provide feedback to improve our code and help identify bugs


Essential

  • Degree in engineering, physics or other relevant subject
  • Ability to work effectively as part of a multidisciplinary team
  • Fast and creative problem-solving skills
  • Evidence of how you have used your technical knowledge to solve problems, e.g. during your final-year project or work experience
  • Good communication and interpersonal skills
  • Experience programming in Python


Desirable

  • Experience working on inertial confinement fusion or fluid dynamics
  • Knowledge of software engineering good practice
  • Appreciation of the numerical methods used in hydrodynamics codes
  • Experience with machine learning and other advanced optimisation methods
  • Programming experience in C++ or Fortran