24 electrical-engineering "The University of Edinburgh" positions

PhD Studentship: A study of Sensing and Wireless Communications

for this project would have first degree and MSc/MEng in physics, electronic and electrical engineering or a related discipline. A passion for experimental work and capability to develop/apply mathematical modelling

Data Architect

EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities

PhD Studentship: Multi-Physics Investigation of Spray in a Crossflow

Principal Supervisor: Dr Khushboo Pandey Eligibility: The candidate should have a master’s degree in either Physics or Engineering. Minimum entry qualification - an Honours degree at 2:1 or above

Assistant/Associate Professor in Sustainability (Brewing and Distilling)

Physics was top in the UK for world-leading research outputs. Our joint submission to Engineering with the University of Edinburgh was ranked 1st in Scotland and 3rd in the UK for quality and breadth

Knowledge Transfer Associate: Paths for All Development Officer

for All). Dr Sam Fawkner (University of Edinburgh) and Prof Trish Gorely (University of the Highlands and Islands) are the supporting academics for the project. In line with Paths for All’s mission

Strategic Category Head (Labs)

and budgets. Procurement at the University of Edinburgh has undergone a major transformation as we extend the scope of our influence and impact across our £1bn world-renowned organisation and introduce

Postdoc Research Fellow in Multi-agent Reinforcement Learning and Foundation Models

London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (University of Edinburgh) and Dr. Biwei Huang (University of California San Diego). The candidate will be a conscientious

Postdoc Research Fellow in Multi-agent Reinforcement Learning and Foundation Models

(https://coopai.kcl.ac.uk/ ) headed by Dr. Yali Du in the Department of Informatics, King’s College London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (University of Edinburgh

Disability Advisor

relevant experience to be able to advise, assess and support disabled students at the University of Edinburgh. A degree, plus recent relevant professional training Extensive experience supporting disabled

PhD Studentship: Machine Learning (ML) for Polymer Blending Optimisation

-dimitrios-i-gerogiorgis https://vasileioskoutsos.wixsite.com/softmaterials The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of