| Location: | London |
|---|---|
| Salary: | £38,419 to £42,091 per annum |
| Hours: | Full Time, Part Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 8th June 2026 |
|---|---|
| Closes: | 21st June 2026 |
| Job Ref: | 9909 |
About the Role
The School of Electronic Engineering and Computer Science at Queen Mary University of London seeks to recruit a Research Assistant (RA) or a Postdoctoral Research Associate (PDRA) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation.
Key duties involve driving foundational research and system development in either decentralized cybersecurity—specifically intrusion detection and migration systems—and/or Edge AI and decentralized learning architectures. Responsibilities encompass conducting independent systems-level research, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings through high-impact academic publications.
About You
Candidates must hold an undergraduate and/or Master’s degrees (or equivalent) in Computer Science or a related discipline, and have recently completed, or be nearing completion of, a PhD in Computer Science or a cognate field.
The successful candidate must possess expertise in either cybersecurity (specifically decentralized intrusion detection and migration systems) or Edge AI and decentralised learning. Essential requirements include demonstrable experience in conducting research, understanding the research process, and summarising findings. Furthermore, the role necessitates strong system-level programming and software development capabilities.
Publications in leading peer-reviewed conferences and/or journals within the aforementioned domains would be desirable. Familiarity with the broader contexts of distributed systems and computer networks, alongside prior involvement in notable open-source projects, would be advantageous.
Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references, and research papers should not be provided at this stage.
About the School of EECS
As a multidisciplinary School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021).
We offer high-quality education to students from diverse backgrounds that leads them to achieve great career outcomes. Our Computing courses were recognised by a recent report from the Institute of Fiscal Studies as top in the country for social mobility.
We welcome staff from diverse backgrounds and are keen to reduce the gender gap, whilst providing a positive and flexible working environment for everyone.
About Queen Mary
Throughout our history, we’ve fostered social justice and improved lives through academic excellence and we embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we have a range of work-life balance and family friendly, inclusive employment policies, as well as flexible working arrangements.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.
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