Research Associate in Neuromorphic Computing

Contract Type: Fixed end date of 31.08.2027

Working Pattern: 35 hours per week

Faculty: Faculty of Engineering

Location: Regent Court

Inspired by the human brain, neuromorphic computing aims to tackle the growing energy demand of AI-based systems. We have an exciting opportunity to join the School of Computer Science as part of an interdisciplinary team developing the next-generation computing hardware based on nanoscale magnetic systems. We are recruiting a Research Associate to join an EPSRC-funded project that aims to explore how different systems with complementary properties can be combined to overcome current limitations. To do this we will develop digital twins of experimental magnetic devices, which will be used to evaluate computational properties and train heterogeneous networks of devices applied on challenging real-world tasks. Successful candidates will contribute to groundbreaking research with the potential to significantly reduce the energy consumption of AI systems and accelerate advancements in the field.

This is an exciting opportunity to work at the intersection of machine learning and materials science. We are looking for someone with a strong interest in developing novel, unconventional computing systems to tackle complex machine learning tasks at low energy. You should hold a PhD, or be close to submitting, in a science or engineering discipline with a particular background in either machine learning or computational modelling.  Experience with Python (or similar) programming and engineering mathematics would be advantageous.

In this role you will:

• Design digital twins and evaluate the computation performance of spintronic neuromorphic systems using novel machine learning techniques (neural ordinary and stochastic differential equations).
• Collaborate with researchers in the Department of Materials Science and at other project partners to train models of physical systems and of networks of these devices.
• Disseminate your research through talks and publications in international journals and conferences.

We are committed to exploring flexible working opportunities which benefit the individual and University.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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