Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- ;
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- Queen's University Belfast
- Brunel University
- CRANFIELD UNIVERSITY
- Cranfield University
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Leeds
- University of Sheffield
- University of Surrey
- 7 more »
- « less
-
Field
-
the Himalayas. The company will host the battery demonstrator at its premises in Kathmandu. You will be an applied engineer, battery technologist or materials scientist who holds a PhD degree (or equivalent
-
remote areas in the Himalayas. The company will host the battery demonstrator at its premises in Kathmandu. You will be an applied engineer, battery technologist or materials scientist who holds a PhD
-
Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
-
Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
-
previously researching on terahertz spectroscopy and ion-exchange membranes. About You We are seeking a highly qualified individual with a PhD (or near completion) in in Electronic Engineering, Chemical
-
will hold a good honours degree (2:1 or above) or equivalent in a relevant subject, and will either have a PhD (or equivalent) in a related discipline such as, Chemistry, Chemical Engineering, Materials
-
a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
-
. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
-
of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
-
torsion apparatus under controlled conditions, and build new models of stress corrosion cracking under diagenetic conditions, quantified by the other team member. You will have a PhD in Geology or