The Government Office for Science offers UK Intelligence Community (IC) Postdoctoral Research Fellowships to outstanding early career science or engineering researchers. These Fellowships are designed to promote unclassified basic research in areas of interest to the intelligence, security and defence communities. The National Protective Security Authority, Department for Transport, Defence Science and Technology Laboratory, Home Office, the National Cyber Security Centre, and UK National Authority for Counter-Eavesdropping are among the organisations represented in the UK Intelligence Community for the Postdoctoral Research Fellowships.
One round of applications is held annually. Each year members of the IC identify research topics and the Research Fellows work locally with their University Research Advisor to develop and submit research proposals that align with the topics.
The research is conducted by the Research Fellows while working in partnership with the University Research Advisor and collaborating with an advisor from the Intelligence Community (IC Advisor). The Research Fellowships are aimed at early-career researchers from all branches of science and engineering who have up to five years postdoctoral experience. Each application for the UK IC Postdoctoral Research Fellowships is capped at a maximum contribution of £250,000 over the 2-year period, at 80% of the full economic costs (fEC).
The Royal Academy of Engineering and the Government Office for Science are committed to diversity and inclusion and welcomes applications from all under-represented groups across engineering. It is the Academy's policy to ensure that no applicant is disadvantaged or receives less favourable treatment because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex or sexual orientation.
Download: UK IC Postdoctoral Research Fellowships Research Topics 2024
| 1 | Exploration to determine the positioning accuracy of mobile devices using the 5G cellular networks |
| 2 | Detection of deep fake videos with audio |
| 3 | Distributed High Frequency Over-The-Horizon radar |
| 4 | Detection of obscured forensic or biometric markers at crime scenes or from objects |
| 5 | Countering deception in Intelligence, Surveillance and Reconnaissance (ISR) networks |
| 6 | Flexible solid-state batteries |
| 7 | Detection of genetic engineering and/or synthetic biology |
| 8 | Anticipating complexity in a modern world |
| 9 | Light weight metamaterial ultrawideband frequency absorber |
| 10 | Machine learning trained fingerprinting of the near field measurement |
| 11 | Analysis of non-western emerging technology |
| 12 | Detection of low volatile materials |
| 13 | Understanding AI enhanced biotechnology risks |
| 14 | Development of techniques to assess data aggregation |
| 15 | Utilizing a modern mobile to provide a level of TSCM capability |
| 16 | Simulation of emerging sensor technologies |
| 17 | The influence of air quality on cognitive performance and behaviour in secure environment |
| 18 | Using homomorphic encryption for machine learning on sensor data and privacy |
| 19 | Developing techniques to enable analytic teams to make accurate judgments |
| 20 | Quantum engineering for quantum sensors |
| 21 | Materials informatics for rapid and efficient design of new systems |
| 22 | Synthetic aperture RADAR automated exploitation |
| 23 | Integrated multimodal facial recognition technologies |
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