Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Durham University
- University of Oxford
- AALTO UNIVERSITY
- University of London
- KINGS COLLEGE LONDON
- University of Liverpool
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Manchester Metropolitan University
- University of Cambridge
- ; University of Cambridge
- Swansea University
- University of Bath
- University of Cambridge;
- University of Glasgow
- 8 more »
- « less
-
Field
-
-related demand- and supply-side interventions. As part of these efforts, the successful candidate will be expected to engage with other stakeholders to develop business-science alliances and initiatives
-
is a full time, fixed term appointment for 3 years, available from August 2025. About the School/Department/Institute/Project The post is based in the School of Engineering and Materials Science (SEMS
-
Faculty/Directorate Faculty of Science and Engineering Location Bay Campus, Swansea Interview Date 18 Aug 2025 Informal Enquiries About The University Swansea University is a research-led university
-
to gather real-world operational data, co-develop case studies, and drive technology transfer for deploying the MIDAS tool. Responsibilities common to both roles: To understand and convey material of a
-
: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
-
. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
-
focus on advanced materials, additive manufacturing and sustainable development, including surface engineering, metamaterials and materials for ‘green' energy. We will address Greater Manchester's need
-
for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree in Engineering, Computer Science
-
materials manufacturing smart infrastructure sports engineering Our department hosts a leading digital manufacturing hub (PrintCity ), with a wide range of equipment that can be used to make mechanical
-
accelerator laboratories, the R&D work of the Liverpool Hadronic Matter Group focuses on the development of Monolithic Active Pixel Sensors (MAPS), the state-of-the-art silicon sensor technology for high