PhD Studentship in Physical Neuromorphic Computing: Novel Materials and Devices
Explore next-generation neuromorphic computing using spin-wave dynamics and 2D materials for energy-efficient AI hardware.
Best for:Best for experimental physicists or materials scientists with a passion for neuromorphic computing, spintronics, and nanotechnology, seeking to contribute to cutting-edge hardware for AI applications.
Overview
This PhD studentship at the University of Oxford focuses on developing novel neuromorphic computing architectures by leveraging physical systems like spin-wave dynamics and 2D spintronic circuits. The project, based in the MIND Research Group within the Department of Physics, aims to advance energy-efficient hardware for AI, robotics, and intelligent sensing. The successful candidate will conduct experimental research, including device development, nanofabrication, and computational modeling, under the supervision of Dr Safeer Chenattukuzhiyil. The position is fully funded, covering tuition fees and a standard stipend, and is ideal for motivated researchers with a background in experimental condensed matter physics or related disciplines.
What you'll do
- Develop and characterise novel neuromorphic devices using spin-wave dynamics and 2D spintronic circuits.
- Conduct experimental research in nanofabrication, electrical and magnetic characterisation of materials.
- Investigate physical reservoir computing and brain-inspired information processing using nonlinear dynamics.
- Design and implement computational models to simulate and analyse device performance.
- Collaborate with the MIND Research Group to advance energy-efficient computing architectures for AI applications.
- Present research findings at conferences and publish results in peer-reviewed journals.
Requirements
Degree required: A strong undergraduate or master's degree in physics, materials science, or a closely related discipline (or expected to obtain by October 2027).
Degree offered: DPhil (PhD)
Language: English (proficient for academic research and communication)
Instruction: English
- Strong background in experimental condensed matter physics or related fields.
- Hands-on experience with magnetism, spin dynamics, or nanotechnology.
- Familiarity with nanofabrication techniques and electrical/magnetic characterisation methods.
- Ability to work independently and collaboratively in a research team.
- Proficiency in scientific communication and presentation of research results.
- Eligibility for the University of Oxford Physics DPhil programme (check eligibility criteria).
- No specific nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2027-01-06
Applicants must first check their eligibility for the University of Oxford Physics DPhil programme. Applications are submitted through the University of Oxford’s official application portal, which is expected to open by the end of October 2026. Ensure you review the application procedure and submit all required documents before the deadline.
- CV
- Cover letter
- Academic transcripts (BSc + MSc if applicable)
- Two reference letters
- Research proposal or statement of interest (if required)
Contact
Safeer Chenattukuzhiyil· Supervisor
https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind
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