-
, and enhanced sustainability. Candidate Requirements Minimum 2.1 Bachelor’s degree or Master’s degree in a relevant discipline (e.g., Computer Science, Electrical Engineering, Biomedical Engineering, and
-
opportunity to work and train with diverse academics from across the natural and social sciences, engineering and humanities and gain a multidisciplinary understanding of the complex challenges facing the agri
-
explainable AI (XAI) to enhance the reliability and applicability of AI algorithms for healthcare applications [2] and/or identifying pitfalls of current AI models using adversarial machine learning. Supervisor
-
current designs that will bring benefits of reduced deposit formation. Heat exchangers and aero engine parts will require increased maintenance intervals and work with greater efficiency while minimising
-
background in one of the following fields: Mechanical Engineering, Robotics, Mechatronics, Electrical Engineering, Material Engineering, Bioengineering, Control, or a related field. Applicants should have, or
-
Funded PhD studentship in Semiconductor Epitaxy at the UK National Epitaxy Facility
-
electricity consumption can be 2 – 4 times larger than the conventional CO2 capture technology. The electricity and thermal energy in the current DAC design are supplied by fossil fuels such as natural gas. A
-
, we need new materials and innovative designs. Metal halide perovskite (MHP) photovoltaics are a cutting-edge technology that have simple low-temperature (~100 ℃) fabrication routes. The efficiency
-
Process Simulation and Integration of Compressed Air Energy Storage (CAES) in the Context of Wind Electricity Department of Chemical & Biological Engineering PhD Research Project Self Funded Prof
-
Integrating machine-learning techniques in structural digital twins Department of Mechanical Engineering PhD Research Project Directly Funded UK Students Dr George Tsialiamanis Application Deadline