74 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Cranfield University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace or mechanical engineering background. Experience of computational fluid dynamics
-
, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
-
are part of the programme. Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace
-
degree or equivalent in a related discipline. This project would suit candidates with a sound background in engineering, computer science, or related disciplines. Funding This is a self-funded PhD
-
infrastructure. This project sits at the interface of environmental engineering, water quality management, and sustainable infrastructure. This PhD project will explore how ICWs can be strengthened through design
-
, chemical engineering, mechanical engineering, physics, or related disciplines are encouraged to apply. Experience with thermodynamics, corrosion, computational modelling, or high-temperature materials is
-
opportunities. How to apply For further information please contact: Name: Professor Saba Al-Rubaye Email: s.alrubaye@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online
-
evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
-
Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
-
mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data