Job Description

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 world's 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 realizing fusion energy, partnering with industry and research for ground-breaking 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 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 42,858 (inclusive of a Specialist Allowance, and onsite working is expected for 2 days a week.

This role can be based at the following site; Rotherham, South Yorkshire or Culham, Oxfordshire.
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 Fusion Technologist (Simulation & Software), you will play a pivotal role in developing high-fidelity simulation & software codes for the design and optimisation of digital-physical systems such as digital shadows/twins. You will work closely with a multi-disciplinary team of experimental and simulation engineers to optimise the deployment of imaging sensors on real-world experiments.
Additional Responsibilities:

• Implement novel solutions to scientific and engineering challenges through the development of new simulation & software tools coupled with physical experiments.
• Work with a multi-disciplinary team to enable the translation of digital-physical systems into engineering practice.
• Represent UKAEA at international conferences as well as at technical meetings and functions as required.
• Produce high impact output, including delivery of talks at major conferences and publishing peer-reviewed papers.

Qualifications
Essential Requirements:

• Doctoral degree in engineering, computer science, applied mathematics, physical science or equivalent experience in a structured research environment.
• Excellent collaborative skills with the ability to share complex technical ideas clearly and simply across disciplines.
• Proficiency with one interpreted programming language (e.g. Python) and one compiled language (e.g. C/C++, Zig) for simulation, analysis and visualisation of scientific/engineering data.
• Familiarity with coding, testing, and documenting best practices, including version control systems like Git.
• Experience with the command line and the Linux/UNIX operating system or Windows Subsystem for Linux.

Additional Information
A full list of our benefits can be found here
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.

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