Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; The University of Manchester
- ; University of Nottingham
- ; University of Birmingham
- ; University of Oxford
- ; Loughborough University
- ; University of Southampton
- ; University of Warwick
- ; Cranfield University
- ; Newcastle University
- ; Swansea University
- ; University of Surrey
- AALTO UNIVERSITY
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Bristol
- ; University of Exeter
- University of Cambridge
- ; Aston University
- ; Coventry University Group
- ; Edge Hill University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Cambridge
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Portsmouth
- ; University of Reading
- Abertay University
- Heriot Watt University
- University of Liverpool
- University of Newcastle
- University of Sheffield
- 29 more »
- « less
-
Field
-
Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
-
via electron backscatter diffraction (EBSD). We are seeking a motivated researcher with a passion for metallurgy and materials engineering, eager to tackle industrially-relevant problems. Ideally, you
-
for analysing complex materials, structures and model validation. The DIC community has developed guidelines to ensure robust measurements, continually advancing standards through ongoing challenges. In
-
networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
-
fees will be covered for up to three years. Eligibility Applicants must have an undergraduate or postgraduate qualification in computer science, machine learning, AI or another relevant field. Equivalent
-
university tuition fees. How to Apply: All applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Mechanical and Manufacturing Engineering’ under ‘Programme’. Please
-
for the production, storage, and utilization of hydrogen as an energy source. Central to hydrogen-based technologies are the functional materials that facilitate them. Recently, our research teams have identified a
-
Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
-
background, we welcome applicants from other relevant disciplines, including psychology, sociology, criminology, law, and computer science. This PhD studentship is fully funded for up to 3.5 years with a tax
-
contributing to safer, more efficient next-generation flight. Required qualifications: We are looking for candidates with: A strong background in Mechanical, Materials, or Aerospace Engineering. Experience in