82 Engineering-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Senior Leadership Team (SLT), Digital & Technology Services (DTS) are seeking an outstanding leader to join us as Director of Service Delivery & Resilience. Reporting directly to the CDIO, this strategic
-
Senior Leadership Team (SLT), Digital & Technology Services (DTS) are seeking an exceptional leader to join us as Director of Digital Engagement & Business Partnering. Reporting directly to the CDIO
-
Senior Leadership Team (SLT), Digital & Technology Services (DTS) are seeking an outstanding leader to join us as Chief Data & AI Officer. Reporting directly to the CDIO, this pivotal role will shape
-
An exciting opportunity is available for a motivated and talented PhD candidate to develop a transformative technology for managing the UK’s nuclear graphite waste. Funded by the Nuclear
-
and future development of curriculum, teaching and learning activities within the Faculty of Engineering. As a member of the Faculty Executive Board (FEB), you will work with the faculty senior
-
machine learning or equivalent in relevant subject area. A strong track record in: machine learning and machine learning engineering software engineering and development Proven Experience in: research in
-
to obtain a Degree (First-Class would be desirable) in Electrical Engineering, Electrical Motor Drives systems or a very closely related topic: Hardware experience in power electronics and motor drives
-
Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
-
or equivalent in a subject relevant to the proposed PhD project, including chemistry, materials science, engineering, physics or a related field. The studentship covers fees at the Home rate (UK and EU applicants
-
with research groups across the faculty, as well as internal and external research networks such as Engineering Research Futures, Research Development (RDN) , and the Researcher Academy. About the team