Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- The University of Manchester
- University of Exeter
- Newcastle University
- University of Cambridge;
- University of Newcastle
- University of Nottingham
- Manchester Metropolitan University
- University of Birmingham
- University of Sheffield
- University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Heriot Watt University
- King's College London
- Manchester Metropolitan University;
- Oxford Brookes University
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Cambridge
- University of East Anglia;
- University of Exeter;
- University of Oxford
- University of Plymouth
- University of Sheffield;
- University of Surrey
- University of Warwick;
- 18 more »
- « less
-
Field
-
research has focused on improving the performance, efficiency, and autonomy of such systems, their empirical security assessment remains underdeveloped, representing a growing and critical gap. Recent
-
, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
-
Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
-
We are seeking a full time Senior Researcher to join Technical Safety and Governance (TSG) lab at the Department of Engineering Science in central Oxford. The post is funded by the Oxford Martin AI
-
Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
-
information-theoretic security even against quantum-capable adversaries, making it one of the most mature and commercially relevant applications of quantum communication. However, current QKD links are limited
-
communications. The project includes training in AI, cyber security, FL, privacy-preserving computation, edge intelligence, and UAV simulation. Objectives Define a UAV-PFL threat model covering poisoning, backdoor
-
model utility Unlearning as an AI safety primitive — exploring how federated unlearning can contribute to removing hazardous or harmful knowledge from collaboratively trained models, positioning the work
-
. The successful candidate will be expected to work closely with Amentum staff and will be required to obtain Baseline Personnel Security Standard (BPSS) National Security Vetting during their PhD, with
-
European Doctoral Network funded under the Horizon Europe Marie Sklodowska-Curie Actions programme. The i3WaterS network brings together leading universities, research centres, technology developers, and