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# Turbulence Modeller

- **Company:** UK Atomic Energy Authority
- **Location:** Abingdon, UK
- **Salary:** £48,290.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), MATLAB, Model Validation, Programming Languages
- **Published:** June 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=43c1d9e1794978ea

## About the Role

Do you have experience in Python?, Do you have a Doctoral degree?, * PhD (or equivalent experience) in relevant field.

 * Experience in numerical modelling and/or validation of plasma turbulence models.
 * PhD level of knowledge of plasma turbulence transport.
 * Interest in model validation by testing models against experiment.
 * Experience in a high-level programming language e.g. Python, MATLAB .
 * Self-driven researcher.
 * Good team player.
 * Excellent oral and written communication skills.
 * Relevant publications.

## Description

The salary for this role is £48,290 (inclusive of a Specialist Allowance) . Onsite working is expected for 3 days a week, however, we actively support requests for flexible working., * Exploit codes that include physics required to model turbulence in high beta burning plasmas, e.g. fast alpha fusion products, electromagnetic fluctuations, flows etc.

 * Build/refine reduced models to describe the turbulent transport obtained from higher fidelity models.
 * May propose and participate in relevant experiments on MAST-U or other devices.
 * Exploit and/or develop advanced computational tools (e.g. flux-driven transport calculations using gyrokinetic simulations and/or reduced models), and use these simulations to: improve reduced transport models, predict turbulence and transport in conceptual high beta burning plasmas, predict performance and explore routes to optimise reactor designs.
 * Report results regularly via reports, and presentations both internally and to collaborators.
 * Disseminate outputs at conferences and in journals where appropriate.
 * Collaborate with turbulence modellers, developers and experimentalists based at UKAEA and in external collaborating organisations.


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