Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Cranfield University
- ; Swansea University
- ; University of Birmingham
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- University of Cambridge
- University of Sheffield
- ; Loughborough University
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Strathclyde
- Newcastle University;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Newcastle
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- ; University of Leeds
- ; University of Sussex
- Newcastle University
- Swansea University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Manchester;
- University of Cambridge;
- 22 more »
- « less
-
Field
-
used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally
-
uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
-
exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD project aims to develop state-of-the-art
-
PhD Studentship: Ageing of stowable polymer composites for space applications Deployable spacecraft structures, such as extendible masts and antennas, unfolding panels, and even inflatables
-
start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
-
, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
-
measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
-
This 3.5-year PhD is fully funded; the tuition fees are paid and you will receive an annual tax free stipend set at the UKRI rare (£20,780 for 2025/26). The funding is linked to UK Research and
-
aligned subjects The Project start dates: October 2025 – Home students only January 2026 – Home and International students Supervisors: Aligned programme of study: PhD in Chemical Engineering Mode of study
-
PhD Studentship: Developing Self-Healing Coatings for Hydrogen Storage Systems Award Summary 100% fees covered for four years and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI