350 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- University of Liverpool
- University of London
- University of Oxford;
- UNIVERSITY OF VIENNA
- Nature Careers
- DURHAM UNIVERSITY
- Durham University
- KINGS COLLEGE LONDON
- Heriot Watt University
- King's College London
- AALTO UNIVERSITY
- Aston University
- Queen Mary University of London;
- University of Liverpool;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- The University of Edinburgh;
- Durham University;
- University of Cambridge;
- University of Newcastle
- ;
- John Innes Centre, Norwich;
- LIVERPOOL JOHN MOORES UNIVERSITY
- University of Bristol
- University of Lincoln
- University of Reading
- University of Reading;
- European Magnetism Association EMA
- Imperial College London
- Lancaster University
- Newcastle University;
- University of Birmingham
- University of Glasgow
- University of Hull;
- University of Manchester
- University of Nottingham
- VIN UNIVERSITY
- Aarhus University
- Aston University;
- Cardiff University
- Edge Hill University;
- Ellison Institute of Technology, Oxford Limited
- Georgetown University
- Heriot-Watt University;
- Imperial College London;
- King's College London;
- Liverpool School of Tropical Medicine;
- Lund University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Oxford Brookes University
- Plymouth University
- Rashid Ganiev
- St George's, University of London;
- The University of Manchester;
- University for the Creative Arts
- University of Bath
- University of Cambridge
- University of Canterbury, New Zealand;
- University of Dundee;
- University of East London
- University of Exeter
- University of Exeter;
- University of Glasgow;
- University of Leicester
- University of York;
- Xi'an Jiaotong - Liverpool University
- 58 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Chemistry
- Engineering
- Mathematics
- Materials Science
- Science
- Economics
- Psychology
- Business
- Humanities
- Earth Sciences
- Environment
- Education
- Electrical Engineering
- Linguistics
- Social Sciences
- Arts and Literature
- Philosophy
- Physics
- Design
- Law
- Sports and Recreation
- 14 more »
- « less
-
testing for all three projects. Applicants should hold a relevant PhD/DPhil (or be close to completion) in engineering or a related discipline. Post-qualification research experience and a strong
-
, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI from both technical
-
, as well as implementation and further development of Oxford Nanopore technology (ONT) based long read sequencing workflows. Furthermore, implementation and customization of bioinformatics workflows
-
agenda for sustainable livestock in Europe. You will also help design and facilitate structured stakeholder/scientific workshops to review and refine these findings. You will be responsible for integrating
-
effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
-
of researchers to develop new heterogeneous catalysts for conversion of CO2 to light olefins using high-throughput experimental techniques and AI tools. You will have a PhD in chemistry or chemical engineering, a
-
Point 25 - 28 £33,482 - £36,130 until confirmation was received. This post is available from 30 March 2026 for an initial period of 12 months. Based within the Faculty of Science, Engineering and Business
-
Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
-
and testing of LLMs. About you You will hold, or be close to completion of a PhD/DPhil in a relevant technical subject (e.g. computer science, statistics, engineering) and possess sufficient specialist
-
Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials