Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Nottingham
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Birmingham
- University of Manchester
- ; London South Bank University
- ; Loughborough University
- ; Swansea University
- ; The University of Manchester
- ; University of Bristol
- ; University of Exeter
- ; University of Greenwich
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- 13 more »
- « less
-
Field
-
supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
-
Resilience (three posts) (Ref. 250604003) The Department of Building Environment and Energy Engineering (BEEE) contributes to PolyU’s world ranking of 17th for Architecture and Built Environment as
-
, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
-
of investigation include electromagnetic and light-driven heating techniques, and the influence of materials formulation and fibre architectures on process control, heating efficiency, and final material properties
-
highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable
-
and social acceptance. This research will develop an efficient variable renewable energy (wind and solar) input system architecture to produce, store, and distribute variable power output (electrical
-
Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
-
programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
-
internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3 - covering a full PhD programme
-
integrates dynamic “smart” materials into 3D-printed structures, opens new frontiers in both bioelectronics and solar energy harvesting. Our goal is to create adaptive electrode architectures. These advanced