Lead Advanced Visualisation Scientist strong>
Abingdon Rd, Culham, UK
Full-time
Salary: Level 5
Site Location: UKAEA Culham, Oxfordshire
Confirmed Grade: Level 5
Department: Data Solutions p>

Company Description strong> p>

By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world's energy? If so, read on. p>

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 world badly needs. p>

UKAEA leads the way in realising fusion energy, partnering with industry and research for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. p>

Job Description strong> p>

As an employee of UKAEA, you will benefit from: p>

- Outstandingdefined benefit pension scheme, details of which can be found at the end of this advert. strong>
- Corporatebonus scheme of up to 7% strong> and a Relocation allowance (if eligible).
-Flexible working options strong> including family friendly policies.
-Employee Assistance Programme strong> and trained Mental Health First Aiders.
-Generous annual leave strong> allowance starting with 25 days, plus 3 days. Christmas closure and 2.5 privilege days, in addition to UK bank holidays.
- Wide range ofcareer development opportunities strong>.
- A vibrantculture strong> committed to equality and being fullyinclusive strong>. p>

The salary for this role is£54,376 (inclusive of a Market Premium Payment (MPP)). strong> p>

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

The Role strong> p>

Are you looking for an exciting opportunity to make a difference? p>

Join our team and contribute to the future of fusion energy. AsLead Advanced Visualisation Scientist strong>, you will play a pivotal role in the Data Solutions team at UKAEA, conducting 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. p>

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. p>

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

Additional Responsibilities: strong> p>

- Work in a team to support the 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 organisation. p>

Qualifications strong> p>

Essential Requirements: p>

- Master's or Doctorate in computational, mathematical, or physical sciences.
- Experience in Scientific or 3D visualisation background is highly desirable.
- Proficiency in common visualisation frameworks like Kitware-Paraview, Omniverse, Blender, or Unity.
- Proficiency in 3D modelling software such as Autodesk Maya, Blender, or 3ds Max.
- Excellent artistic and creative skills, with a strong portfolio demonstrating proficiency in 3D modelling, texturing, and environment design.
- Extensive experience in computer graphics, including knowledge of rendering techniques, shading languages, and graphics APIs (e.g., OpenGL, DirectX, Vulkan).
- Experience with Python, C++, CUDA, or VTK.
- Experience with visualisation-relevant data formats and proficiency in data conversion (e.g., VTK, VDB, USD, HDF5).
- Excellent problem-solving skills and the ability to work independently as well as in a team environment.
- Strong communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences. p>

Ways To Stand Out From The Crowd... strong> p>

- Experience with machine learning frameworks and their application in computer graphics and computing systems.
- Knowledge of high-performance computing, distributed computing, or cloud-based architectures.
- Hands-on experience with Nvidia Omniverse SDKs, PIXAR's Universal Scene Description (USD).
- Familiarity with real-time rendering engines like Nvidia Omniverse, Unreal or Unity Engine, as well as visualisation techniques for PIXAR's Universal Scene Description (USD).
- Experience with real-time data visualisation in tools like Grafana, Kibana, or other open-source dashboarding tools.
- Experience in developing and utilising digital twins for simulation and analysis of real-world systems and processes.
- Contributions to open-source projects or published research in relevant fields.
 
Additional Information strong> p>

For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. p>

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 organisation. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. p>

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