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Artificial Intelligence Approaches to Quantum Materials: Understanding Unconventional Superconductors


Project Description

A PhD position is available in the field of Artificial Intelligence Approaches to Quantum Materials. This project is in competition with other projects offered by the School of Physical Sciences for one of a number of EPSRC Doctoral Training Partnership Studentships.

The aim of the project is to harness techniques from the field of Machine Learning to understand unconventional superconductors.

Over the last decade, Artificial Intelligence approaches such as Machine Learning have become prevalent in many areas including autonomous (self-driving) vehicles, recommender systems and healthcare. More recently the application of such approaches to the discovery and understanding of condensed matter systems, including advanced quantum materials, is emerging as a novel approach with the potential to revolutionise the field.

The present project leverages a unique blend of expertise within the University of Kent’s School of Physical Sciences (SPS), including a world-class research programme in Condensed Matter Theory and cutting-edge applications of AI. Examples of relevant SPS research include the discovery of novel superconducting states, new ways to characterise topological states of matter, and a facial identification method using brainwaves.

Superconductivity is a state of matter where global gauge symmetry is spontaneously broken leading to a macroscopically-coherent state of electrons similar to that of photons in a laser. The successful candidate will develop machine-learning based strategies to understand so-called “unconventional” superconductors which break additional symmetries, such as time-reversal.

The successful candidate will be based at the University of Kent’s main campus in Canterbury and will be a member of the Quantum Theory and Simulation Activity within the Functional Materials Group.

This PhD Studentship is due to start in September, 2019.

Webpage(s):
https://research.kent.ac.uk/theoryandsimulation/
https://www.kent.ac.uk/physical-sciences/staff/profiles/academics/stuart-gibson.html
https://www.kent.ac.uk/physical-sciences/staff/profiles/academics/gunnar-moller.html
https://www.kent.ac.uk/physical-sciences/staff/profiles/academics/jorge-quintanilla.html

Contact: For further information or informal enquiries, please contact Dr S J Gibson (), Dr G Möller (), or Dr J Quintanilla ().

How to Apply: To apply please go to https://www.kent.ac.uk/courses/postgraduate/212/physics.
You will need to apply through the online application form on the main University website. Please note that you will be expected to provide personal details, education and employment history and supporting documentation (Curriculum Vitae, transcript of results, two academic references).

Deadline Date for Applications: 4 February 2019

Interviews to be held between: 25 February – 8 March 2019

Funding Notes

Applicants should have or expect to obtain a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, or a related subject. A strong theoretical or computational would be an advantage. This is in competition with other projects for an EPSRC-funded Scholarship, which will be offered at the standard UK Research Councils' rate (currently £14,777; to cover living costs) and will additionally cover tuition fees at the Home/EU rate (currently £4260 per annum). This scholarship (maintenance and fees) is available to UK nationals only, but EU nationals are eligible for a fees-only award.

Related Subjects

How good is research at University of Kent in Physics?

FTE Category A staff submitted: 5.00

Research output data provided by the Research Excellence Framework (REF)

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