-
. Essential: A 2:1 undergraduate degree or a Master’s degree in Physics, Applied Physics, Mathematical Sciences, computer science, vision science or a closely related subject from a recognised institution. A
-
Ricardo: Jay Al-Tayie. Vision Future defence and aerospace propulsion systems require electric machines with substantially higher power density than current technologies while maintaining exceptional
-
Science, Physics, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded
-
research into power electronics for energy management and decarbonization. Vision We are seeking a PhD student that is motivated and passionate about the design and control of power electronics technologies
-
of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful
-
, providing a strong interdisciplinary environment for doctoral research. Vision This project aims to transform the UK school estate by developing evidence-based, climate-resilient retrofit strategies