Inspire
Location
Europe | United Kingdom
Job description
Job description:
Overview-
This PhD project is to develop and use machine learning-assisted global optimization techniques to find ways of performing high-quality fits of large neutron scattering datasets to excitonic models of quantum magnets. The research focus is machine learning algorithms, optimization algorithms and the hybrid of them for the targeted real-world scientific application. The application area involves a key topic in modern condensed matter physics, the search for and utilization of a quantum spin liquid. The insights gained into such materials are informing new approaches to making quantum computers that are more fault tolerant. As well as the computational work, the student will be involved with conducting the neutron scattering experiments at central facilities in the UK, Europe, and North America. Suitable candidates are those with a solid computer science, mathematics, or computational physics background, and hopes to carry out in-depth research in this area. Although a science background is not required, the student must have a strong interest in scientific research and aspirations to apply the former to the latter.
Qualifications and requirements-
• A degree in computer science, mathematics, physics, engineering, or related fields, with a 1st class or at least upper-second class honors or equivalent.
• An excellent knowledge and skills with computing and experience with programming language(s) such as Matlab, Python, C++, etc.
• Competence in machine learning and/or optimization. • An interest in current topics in magnetism and quantum materials.
• A willingness to travel overseas to conduct experiments at central facilities.
Research environment-
The student will mainly work in University of Edinburgh (QS ranking 15th) and University of Glasgow (QS ranking 76th) for the first two years. The two universities are near to each other. The third year will be based at ISIS Pulsed Neutron and Muon Source in Oxfordshire, which is a world leading centre for research at the STFC Rutherford Appleton Laboratory.
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