86 embedded-system-"https:"-"https:"-"https:"-"https:" positions at University of Leeds
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Park, Harrogate, HG2 8PB. Do you hold a PhD or Master’s degree in Electronic and Electrical Engineering, Embedded Systems Engineering, Mechatronics, or a related discipline? Do you have a strong
-
This job is only open to staff members who work in the Faculty of Engineering and Physical Sciences at the University of Leeds. Are you a Technical Specialist with a diverse range of engineering
-
. Information on other visa options is available at: https://www.gov.uk/browse/visas-immigration/work-visas What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is closed
-
@leeds.ac.uk Project summary With growing global recognition of climate change, this PhD is an exciting chance to shape the development of sustainable healthcare systems, helping organisations like the NHS work
-
supporting the delivery of that vision. Partnering with our leaders, you will be embedded within an area of the organisation, offering advice and challenge; developing engaging workforce strategies which
-
, decarbonising the built environment is essential to meet these goals. Improvements to buildings to make them more energy efficient requires high levels of air tightness to prevent heat loss. However, high levels
-
guidance and training reflecting current trends and approaches, embedding best practice HR solutions across the organisation, offering advice and challenge and providing consistency of approach on cases
-
theme from their respective fields of study. Our EAP teaching is embedded across a wide range of Schools across the University, with EAP Language Centre (LC) academics collaborating with colleagues in
-
applying jointly as a job share, with each applicant applying for 0.1 FTE each The anticipated start date for the LITE Incubator Leads is February 2026; the role is for 0.2 FTE for 3 years in the first
-
+) initiative. This four-year project aims to transform the doctoral ecosystem by embedding artificial intelligence into research practices and professional development across UK higher education. The successful