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The tritium fuel cycle is a classic Goldilocks problem. Too little tritium restricts power generation and too much tritium leads to increased storage requirements and regulatory issues. The ideal system would be a closed loop, with checks and balances, so that the amount of tritium in each part of the cycle is just right.
In this project, the student will investigate the development of a digital representation of the fuel cycle that combines requirements management, systems modelling, numerical analysis and uncertainty quantification. The output would not only provide a tool for optioneering, but would also help prioritise new avenues for research and serve as a testbed for the design of tritium fuel cycle control systems.
The digital framework will be high level and interactive, allowing the user to get feedback regarding changes to the design of a spherical tokamak, the exhaust system and tritium recovery. The components will be represented as low fidelity building blocks. We will investigate the use of Nvidia Omnigraph, an extensible framework for the drag and drop development of interactive systems using simplified representations of physical objects.
Eligibility
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Funding
At Manchester we offer a range of scholarships, studentships and awards at university, faculty and department level, to support both UK and overseas postgraduate researchers applying for competition and self-funded projects.
For more information, visit our funding page or search our funding database for specific scholarships, studentships and awards you may be eligible for.
Before you apply
We strongly recommend that you contact the supervisors for this project before you apply.
How to apply
Apply online through our website: https://uom.link/pgr-apply-fap
When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already having funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees.
Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
After you have applied you will be asked to upload the following supporting documents:
If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk.
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
To help us track our recruitment effort, please indicate in your email – cover/motivation letter where (nearmejobs.eu) you saw this posting.
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