Lead Data Scientist / Lead Theoretical Modeller / Lead Software Developer

Job description

Overview of Responsibilities

UKAEA's pay arrangements and grading structure are currently under review as part of a transformation project and proposed multi-year pay deal. UKAEA aims to introduce a new grading structure in 2024. This will enable us to lead the delivery of sustainable fusion energy and maximise the scientific and economic benefit. Now is a great time to join the Organisation and be part of the journey.

This role requires employees to complete an online Baseline Personnel Security Standard (BPSS) , including The Disclosure & Barring Service (DBS) checks for criminal convictions.

The Role

Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy.

The Computing Division at UKAEA plays a vital role in fusion reactor research, covering HPC, data solutions, algorithm development, and AI. This role, within the plasma simulation group, applies modern computational methods to areas of plasma physics. We collaborate closely with specialists in the plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilizing machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution.

Responsibilities:

• Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations.
• Conduct research into novel numerical techniques applicable to fusion and related fields, managing the migration of codes to new computing architectures and evaluating their effectiveness.
• Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models.
• Collaborate with national and international partners to optimize codes for peta- and exa-scale systems, evaluate novel computing architectures, and lead efforts in performance portability to drive future advancements.

Qualifications

Essential Requirements:

• Doctoral degree in a computational, mathematical, or physical science discipline (or equivalent experience).
• Established knowledge of plasma physics and fusion energy.
• Demonstrable experience with compiled level languages (e.g., C++, Fortran, C) or advanced scripting languages (Julia, R, Python).
• A solid foundation in either numerical methods, high performance computing, scientific software engineering or machine learning.
• An established track record of research publication or high-quality software development.
• Experience in leading a small team either as project or technical manager.

Additional Information

A full list of our benefits can be found here https://careers.ukaea.uk/life-at-ukaea/employee-benefits/

We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI and takes steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success.

Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.