The University of Exeter and Oxford Instruments Plasma Technologies are offering
a jointly funded PhD position in computational and machine learning modelling of
low temperature plasmas. Oxford Instruments (OI) develops and markets a range of
manufacturing and scientific equipment using low temperature plasmas for etching
and deposition. Plasma is a complex state of matter which can be considered as a
fluid or as individual particles; moreover, complex chemical reactions can occur
between species in the plasma. Modelling a plasma is accordingly a very complex
and challenging task. The objective of the project is to optimise the hardware
for the control of plasma in an atomic layer deposition chamber using various
computational modelling approaches. This will require a hybrid fluid/particle
model, which will be developed using the OpenFOAM toolkit A modelling workflow
will be created, and then used as the basis for the optimisation, potentially
using tools such as Bayesian Optimisation. In addition, novel machine learning
approaches will be investigated as a faster alternative for modelling the
injector.
The technological impact of this work will be quite significant. Plasma etching
is an important stage in manufacturing of microprocessors and other electronic
devices, and any advance in this manufacturing is likely to have significant
benefits. Computational modelling such as is investigated here can be the key to
more efficient manufacturing and enable OI to push the envelope of what is
possible. The modelling being developed here also have significant applications
in other areas of plasma research.
The studentship will be awarded on the basis of merit. The project will involve
computational modelling using physics- and machine learning-based methods and
would suit a top student with a background in Physics, Engineering, Mathematics
or similar disciplines with an interest in computer modelling. Students who pay
international tuition fees are eligible to apply, but should note that the award
will only provide payment for part of the international tuition fee (~£24k) and
no stipend. International applicants need to be aware that they will have to
cover the cost of their student visa, healthcare surcharge and other costs of
moving to the UK to do a PhD.
The conditions for eligibility of home fees status are complex and you will need
to seek advice if you have moved to or from the UK (or Republic of Ireland)
within the past 3 years or have applied for settled status under the EU
Settlement Scheme.
The collaboration involves a project partner who is providing funding [and other
material support to the project], this means there are special terms that apply
to the project, these will be discussed with Candidates at Interview and fully
set out in the offer letter. The collaboration with the named project partner
is subject to contract. Please note full details of the project partner’s
contribution and involvement with the project is still to be confirmed and may
change during the course of contract negotiations. Full details will be
confirmed at offer stage.
Entry requirements
Applicants for this studentship must have obtained, or be about to obtain, a
First or Upper Second Class UK Honours degree, or the equivalent qualifications
gained outside the UK, in an appropriate area of Engineering, Physics or related
disciplines.
If English is not your first language you will need to meet the English language
requirements and provide proof of proficiency.
Further details and application through the Uni web link;
https://www.exeter.ac.uk/study/funding/award/?id=5497
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