STRIDE-Computational Scientist

Fusion Energy Base; Abingdon; On-site; GBP 39,000 - 48,000; Full time

Benefits offered by this job

Bonus up to 7%

Pension contribution

Annual leave 25 days

Job summary

UK Atomic Energy Authority (UKAEA) seeks a Computational Scientist to advance high-performance computing in fusion research. You will apply numerical methods to plasma modelling challenges and further develop FreeGSNKE and related AI-assisted workflows.

The role emphasizes scalable Python code, GPU acceleration and collaboration with researchers across sites. The candidate will contribute to plasma scenario design for MAST Upgrade and STEP, while connecting simulation results with reduced-order

Qualifications

• Degree in a scientific, engineering or technical discipline, plus a PhD or equivalent experience in an academic or industrial research environment.
• Demonstrable experience with C++, Fortran, Python or Julia.
• Familiarity with modern software engineering practices, including testing, version control and code maintenance.
• Experience writing efficient, maintainable software independently.
• Knowledge of numerical methods used in the simulation of physical systems.
• Experience applying computational or scientific computing techniques to research or engineering problems.
• Experience working in a Unix or Linux environment.
• Knowledge of tokamak plasma physics, equilibrium modelling or scenario design would be advantageous.
• Experience with high-performance computing, GPUs, JAX, or statistical and machine-learning methods would be welcome.

Responsibilities

• Apply computational and numerical methods to solve scientific research challenges.
• Develop robust, maintainable software for modelling tokamak plasma behaviour.
• Collaborate with technical specialists to deliver modelling and simulation solutions.
• Select and apply appropriate computational approaches to achieve agreed project outcomes.
• Produce technical reports, documentation and contributions to scientific publications.
• Present research findings and technical outputs at internal workshops and forums.
• Identify opportunities to apply specialist expertise to new research challenges.
• Support and, where required, mentor students, graduates or apprentices on technical work.
• Develop and maintain FreeGSNKE's Python codebase, including new modelling capabilities and improvements to performance and scalability.
• Contribute to JAX-based FreeGSNKE development, including GPU-enabled simulation workflows and their deployment on SUNRISE.
• Apply FreeGSNKE to plasma scenario design, benchmarking and simulation-based studies for MAST Upgrade, STEP and other fusion programmes.
• Apply and validate FreeGSNKE through comparison with experimental data, benchmarking and simulation-based studies, including plasma scenario design for MAST Upgrade and STEP.
• Contribute to reduced-order modelling, surrogate development and AI-assisted applications using simulation outputs.
• Support internal and external collaborators using FreeGSNKE and contribute to scientific publications and conference presentations.

Skills

Python

C++

Fortran

Julia

GPU computing

JAX

Education

PhD or equivalent experience

Tools

FreeGSNKE

SUNRISE

Job description

STRIDE-Computational Scientist Overview of ResponsibilitiesAbout the job

Join a team developing advanced computational tools that support world-leading fusion energy research. As a Computational Scientist, you will apply scientific computing and numerical methods to complex plasma modelling challenges, helping to accelerate the development of future fusion technologies. A substantial part of the role will focus on FreeGSNKE, UKAEA's open-source tool for modelling tokamak plasma equilibria and evolution. You will help develop and maintain the code, improve its performance on modern computing systems, and apply it to research challenges including plasma scenario design for MAST Upgrade and STEP. You will also contribute to work connecting numerical simulation with reduced-order models, AI-assisted applications and the emerging capabilities of the SUNRISE supercomputer.

What You’ll Be Doing

• Apply computational and numerical methods to solve scientific research challenges.
• Develop robust, maintainable software for modelling tokamak plasma behaviour.
• Collaborate with technical specialists to deliver modelling and simulation solutions.
• Select and apply appropriate computational approaches to achieve agreed project outcomes.
• Produce technical reports, documentation and contributions to scientific publications.
• Present research findings and technical outputs at internal workshops and forums.
• Identify opportunities to apply specialist expertise to new research challenges.
• Support and, where required, mentor students, graduates or apprentices on technical work.
• Develop and maintain FreeGSNKE's Python codebase, including new modelling capabilities and improvements to performance and scalability.
• Contribute to JAX-based FreeGSNKE development, including GPU-enabled simulation workflows and their deployment on SUNRISE.
• Apply FreeGSNKE to plasma scenario design, benchmarking and simulation-based studies for MAST Upgrade, STEP and other fusion programmes.
• Apply and validate FreeGSNKE through comparison with experimental data, benchmarking and simulation-based studies, including plasma scenario design for MAST Upgrade and STEP.
• Contribute to reduced-order modelling, surrogate development and AI-assisted applications using simulation outputs.
• Support internal and external collaborators using FreeGSNKE and contribute to scientific publications and conference presentations.

What You’ll Bring

• Degree in a scientific, engineering or technical discipline, plus a PhD or equivalent experience in an academic or industrial research environment.
• Demonstrable experience with at least one modern programming language relevant to scientific computing, such as C++, Fortran, Python or Julia.
• Familiarity with modern software engineering practices, including testing, version control and code maintenance.
• Experience writing efficient, maintainable and comprehensible software independently.
• Knowledge of numerical methods used in the simulation of physical systems.
• Experience applying computational or scientific computing techniques to research or engineering problems.
• Experience working in a Unix or Linux environment.
• Knowledge of tokamak plasma physics, equilibrium modelling or scenario design would be advantageous.
• Experience with high-performance computing, GPUs, JAX, or statistical and machine-learning methods would be welcome.

UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3-5 days in any given week) in line with business needs. We actively support flexible working arrangements where this is compatible with the role.

Benefits

• A salary of £43,702 (inclusive of a £3,300 specialist allowance)
• Up to 7% corporate performance bonus
• Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution
• 25 days annual leave plus 2.5 'privilege' days; 8 Bank Holidays Additional 3 days of site closure over Christmas break Flexible working options plus family-friendly leave provisions

UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce.

As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates.

We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made on merit and further information can be found here.

Salary

£43,702 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension

Programme: Computational Science and Engineering

Department: Engineering

Discipline: Engineering

Site Location: UKAEA Culham, Oxfordshire

Type of Employment: Full-time

Reference Number: REF4569J