Research Associate in Machine Learning for Next-Generation Hardware

Join the School of Computer Science as a Research Associate for an EPSRC-funded project exploring nanomagnetic devices for energy-efficient AI systems. You will develop diffusion-based generative models to simulate experimental devices and optimize their composition for real-world tasks like smart prosthetics. Candidates should have a PhD in Computer Science, Physics, or a related field, with knowledge in computational modeling and machine learning. This role offers a competitive salary and a range of benefits, including flexible working and generous leave.