38 assistant-professor-and-human-centered-computing PhD positions at University of Nottingham
Sort by
Refine Your Search
-
Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
-
filled. Do you want to be at the heart of the clean energy revolution? This PhD project gives you the chance to design and build the novel materials that could make hydrogen-powered aircraft, electric cars
-
2025/26; subject to annual uplift) plus home tuition fees will be paid. We recommend that you apply early, as the advert will be removed once the position has been filled. Do you want to be at the heart
-
of the modern age. What if there was another way? What if we could utilise the very land that lies at the foot of wind or solar farms? By pumping water into a sealed flexible membrane under a mass of soil we can
-
necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
-
PhD Project: Advanced 3D/4D-Printing of Responsive Biomaterial Devices Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre
-
PhD Project: 3D-Printed Drug Delivery “Microbots” for Personalised Healthcare Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing
-
PhD Project: 3D-printing next-generation electro-actuators for soft robots and devices Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive
-
PhD project: 3D-Printing Devices with Responsive Structural Colour Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre for Additive
-
are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid