11 high-performance-computing-"Faculty-of-Engineering" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Engineering, Faculty of Engineering and Applied Sciences, Cranfield University, in the area of performance simulation, analysis, and optimization of supercritical CO2 power generation systems. Cranfield has
-
team bridging aerospace and materials research, with access to high-performance computing resources and the university’s state-of-the-art materials research facilities, including high-resolution X-ray CT
-
power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
-
power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
-
Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
-
be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
-
Fully Funded PhD Studentship (Home) in 4D Printing for Advanced Bioelectronics Contact: Supervisor: Dr Xiaolong Chen (Xiaolong.chen@nottingham.ac.uk) Faculty of Engineering, M3 Department, Advanced
-
students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
-
to be considered. How to apply Apply online by clicking the 'Apply' button, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD
-
, Faculty of Engineering) Introduction Modern maintenance strategies rely heavily on condition monitoring to predict failures and improve system performance. However, a significant challenge lies in the vast