STRIDE - Deep Specialist HPC Computational Engineer

UK Atomic Energy Authority; South Yorkshire; On-site; GBP 71,000 - 81,000; Full time

Benefits offered by this job

Salary £71,815 + £7,700 specialistus?l

7% corporate performance bonus

Final salary defined benefits pension

25 days annual leave + 2.5 privilege +

8 Bank Holidays

Site closure 3 days over Christmas

Flexible working options

Job summary

UK Atomic Energy Authority seeks a senior leader in Computational Materials and Engineering to spearhead software capabilities for fusion simulations. You will guide research directions, manage programs and resources, and represent UKAEA in national and international collaborations.

You will develop and implement strategies for new computing architectures, oversee high-impact publications, and mentor a distributed team across projects in HPC, AI and multiphysics simulations.

Qualifications

• PhD or equivalent with strong publication record or software library contributions
• Significant HPC experience and at least one compiled language or advanced scripting language evidenced in software contributions
• Experience leading distributed teams in mentoring or management roles
• Well-founded mathematics with numerical analysis background and publications or software contributions
• Experience in testing strategies (verification/validation) and evaluating new algorithms for fusion codes
• Proven record of technical review and approval of large-scale software projects or journals

Responsibilities

• Plan and lead technical contributions to modelling, simulation and uncertainty quantification for UKAEA programmes
• Review and approve technical output from teams of 4–10 people
• Oversee development of state-of-the-art software suites with quality standards
• Design strategy for development, deployment on and evaluation of computing architectures
• Present research at conferences, publish papers and lead outreach
• Collaborate with international partners to develop codes for extreme-scale systems
• Seek and lead new research funding and consortia proposals
• Lead international projects and grow UKAEA research at the cutting edge
• Conduct own research into novel numerical methods for fusion applications
• Advise other divisions and provide training across the organisation

Skills

Leadership experience

Mentoring teams

Project management

Research leadership

Education

Doctorate degree in computational/ mathematical/ physical science

Tools

C++

Fortran

Rust

Julia

R

Job description

About us

Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our worldbadly needs. UKAEA leads the way in realizing fusion energy, partnering with industryand research organisations to achieveground-breaking advancements. Our goal is to bring fusion electricity to the gridby developing the power stations of tomorrow and the skilled workforce to deliver them.

About the job

The Computational Materials and Engineering (CME) Unit within UKAEA’s Computing Division delivers research, development and technical support across high-performance computing, engineering and scientific computing, AI, machine learning and advanced simulation technologies for the fusion programme. In this role, you will lead the development and maintenance of software capabilities supporting computational nuclear and multiphysics applications, while driving research, collaboration, funding and adoption of emerging technologies. You will provide technical and strategic leadership, manage projects and resources, represent UKAEA nationally and internationally, and help shape future research directions while developing expertise and collaborations across the Authority.

What You’ll Be Doing

• Plan and lead technical contributions to workstreams in modelling, simulation and uncertainty quantification activities for UKAEA programmes
• Review and provide approvals for the technical output of teams of 4-10 people
• Oversee development of state-of-the-art software suites, ensuring adherence to established quality standards
• Design technical strategy for development for, deployment on, and evaluation of new and emerging computing architectures
• Produce consistently high levels of high-impact output. Present research at conferences including regular oral or invited conference presentations, high quantity and quality of publications, generally two to three first author journal papers per year
• Collaborate with national and international partners on developing and evolving codes to exploit peta- and exa-scale systems
• Actively seek new research and funding opportunities, leading proposals. When successful implement new programmes supported by funds outside UKAEA, leading consortia
• Lead international projects, develop new collaborations, and maintain and grow our research at the international cutting edge
• Perform your own research into novel numerical methods and algorithms with applicability within fusion and beyond
• Act as a source of advice to other divisions and programmes. Support wider skills development, providing training across the organisation relating to specialism

What You’ll Bring

• At least a doctorate degree (or equivalent qualification)in a computational, mathematical or physical science discipline with a strong publication track record or contribution to relevant software library (or equivalent experience in either a commercial or research environment)
• Significant demonstrable experience using high-performance computing systems and of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting), as evidenced through contributions to software packages
• Experience in working in and leading a distributed team in both mentoring and managing roles, either as a project or technical manager
• Significant demonstrable experience and international reputation in one or more relevant computational engineering fields. Solid foundation in mathematics, especially numerical analysis, demonstrated by extensive publication records or contributions to relevant software libraries
• Experience of the development and implementation of testing strategies (verification and validation) and an ability to assess new algorithms which could be applicable to fusion based codes
• Demonstrable significant experience in performing technical review and approval of contributions to large-scale software projects or journals

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.

The role is currently advertised at Rotherham, but other UKAEA locations may also be considered.

Benefits

We have a generous range of benefits (see the full list here) and highlights include:

• A salary of£71,815(inclusiveofa£7,700 specialist allowance)
• Up to 7% corporate performance bonus
• Final salary defined benefits pension scheme with an equivalent of21.5% employer pension contribution
• 25 days annual leave plus2.5 'privilege' days;8 Bank Holidays
• Additional 3 days of site closure over Christmas break
• Flexible working options plus family-friendly leave provisions

Our commitment to ED&I

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,inclusionand accessibility, and strive to ensure fair representation across our workforce.

Please email [e-mail] if you have any questions or require adjustments to help you participate fairly in our recruitment process, for example changes to the way we interview or share information. 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 onmeritand further information can be found here.