31 power electronics positions at The University of Southampton in United Kingdom

Research Fellow in Analytical Chemistry (Microfluidic Sensors)

and analysis. Proficiency in a wide range of analytical chemistry techniques and methodologies. Ability to travel or drive to various locations for in situ work as required. Excellent teamwork and

Research Fellow in Technology for Water Pollution Monitoring

of the country’s foremost centres for engineering research (ranked 4th in the most recent REF ). You will have access to a range of 3D printing facilities, traditional engineering workshops, electronics workshops

Hums and SIAH KEE Fellow

Humanities. An enterprising self-starter, with strong project management skills, you’ll have the ability to think strategically, plan effectively, and negotiate productive partnerships. What we can offer you

Research Integrity and Compliance Officer

recognition for its wide-ranging successes and history of world-changing achievements. Research represents the lifeblood of the University of Southampton. It powers everything we do, from our innovative

NIHR Clinical Lecturer Ophthalmology or in Neurology

of the relevant research areas, a proven track record of high-quality original research publications, the ability to work well in a multidisciplinary, multi-professional team and hold a corresponding NTN. The post

Alumni & Supporter Engagement Officer (Volunteering)

mutually beneficial relationships with individual and groups of alumni around the world using a range of channels, including email, social media and LinkedIn Working with colleagues across the University

Research Fellow x2

); have knowledge and expertise in quantitative data analysis; are skilled in the use of STATA, SPSS or other data analysis software; have the ability to plan and organise work independently and as part of

Lecturer / Associate Professor Mechanical Engineering

control systems, soft sensors and actuators, robotics, tissue surrogates, foams, stretchable electronics or e-skins etc. Future mobility, automotive dynamics and propulsion, including power systems, future

Research Fellow in Efficient Machine Learning Systems

candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power

Customer Services Supervisor

to deliver an excellent customer service.  Therefore, you will have recent experience of using standard Microsoft software with the ability to use a range of IT systems and communication platforms