We are seeking an Advanced Computing Specialist to join our innovative team in Culham, United Kingdom. In this role, you will be at the forefront of cutting-edge computational research and development, leveraging high-performance computing systems to solve complex scientific and engineering challenges.
Your first project will focus on developing novel tools for simulating neutral physics in the Tokamak exhaust, a key challenge for fusion. This includes particle methods like Direct Simulation Monte Carlo and collisional-radiative modeling for multi-component plasmas, within an international, interdisciplinary team. You’ll work with performance-portable tools such as JAX and SYCL. Candidates with fusion experience or backgrounds in areas like neutronics, chemical kinetics, or multi-phase combustion modeling are encouraged to apply.
Responsibilities:
* Design, develop, and implement advanced computational algorithms and models to support scientific research and engineering applications.
* Optimise and maintain high-performance computing systems and parallel computing environments.
* Collaborate with researchers and scientists to translate complex problems into efficient computational solutions.
* Analyse and visualise large-scale datasets using advanced data processing techniques.
* Develop and implement machine learning algorithms for predictive modelling and data-driven decision making.
* Provide expert guidance on best practices in scientific computing and software development.
* Stay abreast of emerging technologies and methodologies in advanced computing and incorporate them into existing workflows.
* Contribute to research publications and technical documentation related to computational advancements.
Salary and Benefits:
£40,609 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension.
Minimum Requirements:
* Master's degree or PhD in Computer Science, Computational Science, or a related field.
* Experience in advanced computing or a related field.
* Proficiency in advanced programming languages such as Python, C++, and Java.
* Extensive experience with high-performance computing systems and parallel computing.
* Strong knowledge of cloud computing platforms and their application in scientific computing.
* Demonstrated expertise in data analysis, visualisation, and machine learning algorithms.
* Proficiency with scientific computing libraries and frameworks.
* Proven track record of implementing complex computational solutions for large-scale data processing and analysis.
* Experience working in research environments and familiarity with scientific or engineering applications of advanced computing.
* Strong analytical and problem-solving skills with meticulous attention to detail.
* Excellent organisational skills and ability to manage multiple projects efficiently.
* Effective communication skills to collaborate with cross-functional teams and present technical concepts to non-technical audiences.
* Commitment to staying current with emerging technologies and methodologies in advanced computing.
We welcome talented people from all backgrounds who want to help us achieve our mission. We encourage applications from under-represented groups, particularly from women in STEM, people from Black British Caribbean and African, Pakistani and Bangladeshi British, and other ethnic minority backgrounds, people with disabilities, and neurotypical individuals. Our Executive team, supported by our 'Head of Equality, Diversity and Inclusion' (EDI) and Wellbeing and our EDI Networks actively promote Inclusion and takes steps to increase diversity within our organisation.
Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.
As an employee of UKAEA you will benefit from:
* Outstanding defined benefit pension scheme, details of which can be found at the end of this advert.
* 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.
* Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays.
* A vibrant culture committed to equality and being fully inclusive.
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