115 phd in power electronics positions at The University of Southampton

Research Fellow - Retinal Cell Biology

be funded until 30/04/2027 in the first instance. Candidates should have a PhD (or about to be awarded) in a relevant area and a BSc/MSc in a related life science subject (e.g. developmental cell

Research Fellow in Bayesian Machine Learning

Electronics and Computer Science, to work in the area of Bayesian deep learning. The position is available on a fixed term basis for 36 months due to funding restrictions. You will be working under

Research Fellow in Hardware Security

the School of Electronics and Computer Science. What we would like to see PhD in computer science, Cyber security, and electrical engineering or equivalent professional qualifications and experience Research

Research Fellow in Marine Ecology and offshore renewables

direct collaboration with researchers from the School of Engineering at the University of Southampton. The applicant will have a PhD (or equivalent) in marine biology/ecology, or a related discipline, by

Lecturer / Associate Professor in Experimental Physics

Engineering; · Physics for a Sustainable Future, including photovoltaics and sustainable energy, new routes to low power devices, and technological adaptations to climate change. Both areas are supported by

Associate Professors / Professors in Computer Science

School of Electronics & Computer Science Location: Highfield Campus Salary: Associate Professor (Level 6) - £57,696 to £72,018 per annum ; Professor (Level 7) - Competitive: Salary will be

Associate Professor / Professor in Digital Health

Science The Faculty of Medicine and School of Electronics & Computer Science (ECS) are launching a joint strategic investment to promote and strengthen interdisciplinary research in healthcare using advanced

Lecturer in Climate Science

Mathematics for Future Climate CDT.  We are home to one the largest graduate schools in OES in the world, with >130 PhD students. ABOUT YOU You will demonstrate passion for education and an ability to enhance

Lecturer/Associate Professor in Sustainable Coastal Environments

courses, with scope for developing innovative specialist modules. We seek applicants with a PhD (or equivalent professional qualification/experience) whose research actively engages disciplinary

Lecturer in Machine Learning and Artificial Intelligence in Mental Health

doctorate in computer sciences or related discipline, be able to evidence excellence in teaching and research commensurate with your level, and share our ambition to deliver the highest quality research