Computational Materials Simulation Scientist

3 weeks ago


Culham, United Kingdom United Kingdom Atomic Energy Authority Full time
About the Role

We are seeking a highly skilled Computational Materials Simulation Scientist to join our team at the United Kingdom Atomic Energy Authority. As a key member of our research team, you will play a crucial role in developing high-performance computer models for microstructurally and chemically complex materials.

Key Responsibilities
  • Formulate numerical algorithms based on interatomic and elastic interactions to investigate material evolution in extreme environments.
  • Simulate conditions like high temperatures, stresses, gravitational and magnetic loads, and irradiation effects expected in a fusion power plant.
  • Advance and spearhead UKAEA's research in microstructurally and chemically complex materials simulations.
  • Explore applications of density functional theory, atomistic force field, and dislocation dynamics models to predict the evolution of materials under expected fusion conditions.
Requirements
  • PhD degree in condensed matter theory, computational materials science, or related discipline.
  • Established expert in simulations involving High Performance Computing, preferably in condensed matter theory or computational materials science.
  • Track record of first-author journal publications in career.
What We Offer
  • Competitive salary of £40,609 (includes Market Premium Payment).
  • Outstanding defined benefit pension scheme.
  • Corporate bonus scheme up to 7% and a Relocation allowance (if eligible).
  • Flexible working options including family-friendly policies.
  • Employee Assistance Programme and trained Mental Health First Aiders.
  • Emergency paid leave, Generous annual leave allowance (30.5 days) increased with length of service.
  • Wide range of career development opportunities.
  • A vibrant culture committed to being fully inclusive.
How to Apply

Please visit our careers pages to apply for this exciting opportunity. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women.



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