The salary for this role is 48290 (inclusive of a Specialist Allowance) . Onsite working is expected for 3 days a week however we actively support requests for flexible working.
This role can be based at any of the following sites: 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 and possibly a search of open source data.
The Role
Are you looking for an exciting opportunity to make a difference Join our team and contribute to the future of fusion energy. AsTurbulence Modelleryou will play a pivotal role in developing and applying advanced computational tools to model turbulence and transport in high beta burning plasmas. You will focus on creating and refining reduced (quasilinear) models to capture key physics of turbulent transport efficiently providing essential insights for optimising next-generation fusion pilot plants (FPP).
This work is integral to UKAEAs ambitious STEP programme to design a compact fusion reactor foreseen to operate in a non-inductive high beta plasma addition UKAEA operates MAST-U which as one of the worlds leading spherical tokamaks is highly suitable for exploring the physics basis for STEP. The plasma regimes envisaged for FPPs like STEP push beyond the range of validity of reduced models of turbulent transport. These models therefore require further this endeavour UKAEA has strong collaborations with UK universities as well as other international programmes in Europe and worldwide.
Key Responsibilities:
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.
Qualifications :
Essential Requirements:
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 .
Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.
Remote Work :
No
Employment Type :
Full-time
The salary for this role is 48290 (inclusive of a Specialist Allowance) . Onsite working is expected for 3 days a week however we actively support requests for flexible working. This role can be based at any of the following sites: Culham Oxfordshire.This role requires employees to complete an onlin...
The salary for this role is 48290 (inclusive of a Specialist Allowance) . Onsite working is expected for 3 days a week however we actively support requests for flexible working.
This role can be based at any of the following sites: 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 and possibly a search of open source data.
The Role
Are you looking for an exciting opportunity to make a difference Join our team and contribute to the future of fusion energy. AsTurbulence Modelleryou will play a pivotal role in developing and applying advanced computational tools to model turbulence and transport in high beta burning plasmas. You will focus on creating and refining reduced (quasilinear) models to capture key physics of turbulent transport efficiently providing essential insights for optimising next-generation fusion pilot plants (FPP).
This work is integral to UKAEAs ambitious STEP programme to design a compact fusion reactor foreseen to operate in a non-inductive high beta plasma addition UKAEA operates MAST-U which as one of the worlds leading spherical tokamaks is highly suitable for exploring the physics basis for STEP. The plasma regimes envisaged for FPPs like STEP push beyond the range of validity of reduced models of turbulent transport. These models therefore require further this endeavour UKAEA has strong collaborations with UK universities as well as other international programmes in Europe and worldwide.
Key Responsibilities:
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.
Qualifications :
Essential Requirements:
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 .
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 genera
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