Publisher
source

University of Oxford

Top university

PhD Studentship in Physical Neuromorphic Computing: Novel Materials and Devices University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 6, 2027

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Electrical Engineering
Materials Science
Magnetism
Condensed Matter Physics
Computational Modelling
2d Material
Physics
ML

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About this position

[Funded through the supervisor's Royal Society grant; covers tuition fees and provides a standard stipend.]

PhD studentship at the University of Oxford in the Department of Physics within the MIND Research Group for a project on Physical Neuromorphic Computing: Novel Materials and Devices.

This DPhil project explores next-generation neuromorphic computing technologies that use the natural dynamics of physical systems for brain-inspired information processing. The research is supervised by Dr Safeer Chenattukuzhiyil and is grounded in experimental condensed matter physics, magnetism, spintronics, and nanotechnology.

The project will investigate spin-wave dynamics and two-dimensional van der Waals materials as platforms for compact, high-speed, and energy-efficient neuromorphic devices. Key themes include physical reservoir computing, pattern recognition, temporal information processing, artificial neurons, synaptic functionalities, and interconnected spintronic computing elements.

Research methods will combine experimental device development, nanofabrication, electrical and magnetic characterisation, and computational modelling. The aim is to build new physical computing architectures that exploit spin dynamics and spin-dependent interactions for artificial intelligence, robotics, and intelligent sensing.

The studentship is funded through the supervisor's Royal Society grant and includes tuition fees plus a standard stipend. Applicants should have, or expect to obtain, a strong undergraduate or master's degree in physics, materials science, or a closely related discipline. Strong analytical ability, problem-solving skills, and enthusiasm for experimental research are expected; experience with magnetism, spin dynamics, 2D materials, programming, machine learning, or nanofabrication would be advantageous.

The application portal is expected to open by the end of October 2026, and the deadline is 6 January 2027. The project is expected to start in the academic year beginning October 2027. Applicants should first check eligibility for the University of Oxford Physics DPhil programme and review the application procedure on the MIND Research Group join page.

Funding details

Available

What's required

Applicants should have, or expect to obtain, a strong undergraduate or master's degree in physics, materials science or a closely related discipline. A strong interest in experimental condensed matter physics, magnetism, spintronics, nanotechnology or neuromorphic computing is expected. Strong analytical and problem-solving skills, enthusiasm for experimental research, and the ability to work independently and collaboratively are required. Previous experience in magnetism, spin dynamics, nanofabrication, electrical measurements, 2D materials, programming and machine learning would be advantageous. Candidates should also be able to communicate scientific results clearly.

How to apply

Check your eligibility for the University of Oxford Physics DPhil programme before applying or contacting the supervisor. Review the application procedure on the MIND Research Group join page. Apply through the application portal when it opens at the end of October 2026. Submit your application by 6 January 2027.

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