Lead Advanced Visualisation Scientist

Job description

Overview of Responsibilities

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
• Wide range of career development opportunities.
• A vibrant culture committed to equality and being fully inclusive.

The salary for this role is £52,293 (inclusive of a Market Premium Payment (MPP))

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. As Lead Advanced Visualisation Scientist, you will play a pivotal role in the Data Solutions team at UKAEA conducts support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies.

We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our research directly informing engineering efforts. Currently, we're seeking individuals for Advanced Visualisation roles to contribute to various projects, providing software development, data analysis, and user support.

You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting user needs.

Additional Responsibilities:

• Work in a team to support development of Advanced Visualisation tools and investigate novel approaches to improve visualisation and analytical capabilities for experiments on JET, MAST-U and other fusion devices.
• Exploit modern tools and methods of Visualisation in collaboration with HPC and AI experts.
• Support the team lead in the development of advanced visualisation tasks, and supervision of junior members of staff.
• Contribute to reporting results and outreach within and outside the organization.

Qualifications

Essential Requirements:

• Doctorate degree in computational, mathematical, or physical science discipline (or equivalent experience).
• Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Python, Julia, R, Swift Parallel Scripting).
• Strong experience with the UNIX operating system, particularly the command line interface.
• Practical experience in agile project management and software development practices.
• Experience and a proven track record in application of advanced visualization. methods.
• Knowledge of data governance, data quality principles and complex data workflows.

Desirable Requirements:

• Ability to travel within the UK and Europe for short periods (1-5 days).
• Actively participate in internal and external events, including presenting work and supporting users in adopting outputs.

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.