UK Atomic Energy Authority

Advanced Visualisation Scientist

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Job Location

Abingdon, United Kingdom

Job Description

Advanced Visualisation Scientist
Abingdon Rd, Culham, UK
Full-time
Salary: £38,620 (inclusive of MPP) + excellent benefits including outstanding pension
Division: Computing
Site Location: UKAEA Culham, Oxfordshire
Confirmed Grade: Level 4
Department: Data Solutions

Company Description

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 worlds energy? If so, read on.

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.

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.

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 of up to 7% and a Relocation allowance (if eligible).
- Flexible working options including family friendly policies and the right to request flexible working from the start of your employment.
- 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 £40,609 (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.

Job Description

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 an Advanced Visualisation Scientist, you will play a pivotal role in the Data Solutions team within the Computing Division at UKAEA, conducting research, development, and support roles covering diverse areas such as cloud computing, high-performance computing, algorithm development, artificial intelligence, advanced visualisation, 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. We are currently seeking individuals to join our team, focusing on Advanced Visualisation techniques. In this role, you'll work on various projects, engaging in software development, data analysis, and supporting users in adopting new technologies, including assisting with compute cluster usage.

Additional Responsibilities:

- 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.
- Contribute to reporting results and outreach within and outside the organisation.

Qualifications

Essential Requirements:

- Master's Degree or Doctorate in computational, mathematical, or physical sciences.
- Experience in scientific visualisation background.
- Experience in common visualisation frameworks like Kitware-Paraview, Omniverse, Blender, or Unity.
- Experience in 3D modelling software such as Autodesk Maya, Blender, or 3ds Max.
- Artistic and creative skills, with a strong portfolio demonstrating proficiency in 3D modelling, texturing, and environment design.
- 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.

Ways To Stand Out From The Crowd...

- 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

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

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.

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

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Location: Abingdon, GB

Posted Date: 9/22/2024
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Contact Information

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UK Atomic Energy Authority

Posted

September 22, 2024
UID: 4834218229

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