PhD Studentship -Neuromorphic Devices: Join the University of Sheffield’s Computer Science department for a groundbreaking PhD opportunity in neuromorphic computing. This project delves into the realm of machine learning and physics, aiming to revolutionize computing paradigms by emulating the human brain’s structure. Led by Dr. Matthew Ellis, this scholarship focuses on advancing machine learning methods, particularly neural differential equations, to predict the dynamics of experimental systems designed for neuromorphic computing.
PhD Studentship – Machine Learning Digital Twins of Spintronic Neuromorphic Devices
Summary Table:
- Qualification Type: PhD
- Location: Sheffield
- Funding for: UK Students, International Students
- Funding amount: £19,237 (please see advert)
- Hours: Full Time
- Placed On: 2nd May 2024
- Closes: 2nd June 2024
Study Area: Neuromorphic Computing, Machine Learning, Physics
Scholarship Description: Neuromorphic devices emulate the human brain’s structure to develop resource-efficient computing systems. This project aims to utilize bespoke nanoscale devices as ‘complex’ neurons, trained by digital twins, machine learning models predicting physical systems. The research will advance machine learning methods, focusing on neural differential equations to predict experimental system dynamics for neuromorphic computing.
Eligibility: Minimum 2.1 Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Physics, etc), or equivalent. Applicants should be self-motivated with experience in machine learning and/or computational modeling, possessing strong programming skills, ideally in Python. For non-native English speakers, an IELTS score of 6.5 overall, with no less than 6.0 in each component, is required.
Required Documents: Applicants must submit a short (up to 3 A4 pages) research statement outlining reasons for applying, approach to the research, and detailing skills and experience in the topic area. Additional documents and the application form can be found at link.
How to Apply: Applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form, with Dr. Matt Ellis named as the proposed supervisor. Applicants should only apply for one of the three projects advertised with Dr. Matt Ellis.
Last Date: Applications close on 2nd June 2024.
Funding notes: The PhD studentship covers standard UK home tuition fees and provides a tax-free stipend at the standard UK Research Council rate (£19,237 for 2024/25) for 3.5 years. Overseas students are eligible but must cover the difference between UK and overseas tuition fees. Further information is available here.
