Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £29,647 to £31,460, with
-
Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
-
, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
-
Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.
-
validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
-
radar systems. Finally, it will benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance
-
range of modules in the business Pathway including Economics, Quantitative Methods, Business and the Market and Introduction to Business Management. The Teaching Fellow in the Foundation Programme will
-
salary is normally in the range £47,389 to £56,535 with potential progression once in post to £63,606 Grade: 8 Full Time, Permanent Closing date: 11th November 2025 Academic Development Programme - new
-
to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services
-
our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically