Research Associate - Full Time / À Temps Plein

This PhD scholarship is part of the EU Horizon Europe Marie Skłodowska‑Curie Actions Doctoral Network (MSCA DN) project ANT – Embedded AI Systems and Applications ( College / Directorate
College of Engineering, Design & Physical Sciences
Department of Computer Science
Full Time / Part Time
Full Time
Posted Date
Research Assistant (MSCA) with a PhD full scholarship on Networked Scalable Learning – 16044
Department of Computer Science
College of Engineering, Design and Physical Sciences
Location: Brunel University of London, Uxbridge Campus
The University will waive international PhD tuition fees for the duration of the program.
Hours: Full-time
Contract Type: Fixed-term for 29 months, followed by a 7-month stipend at the UKRI rate (currently approximately £1,983.75 per month, subject to adjustment in line with UKRI rates), covering the full duration of the PhD.
Brunel University of London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits.
The Department of Computer Science where this project will be conducted is ranked 3rd in the UK (2020-22) overall in the NTU Performance Ranking of Scientific Papers for World Universities and, for five years in succession, 1st in the UK for H-index and Highly Cited Papers (2018-2022). According to the recently released 2023 Shanghai Academic Ranking of World Universities (ARWU) Computer Science & Engineering at Brunel has been ranked 7th in the UK and a very respectable 101-150 position worldwide.
This PhD scholarship is part of the EU Horizon Europe Marie Skłodowska‑Curie Actions Doctoral Network (MSCA DN) project ANT – Embedded AI Systems and Applications (
The ANT project is a large-scale international doctoral training program, offering 18 fully funded PhD positions with a total budget of €4.9 million, aimed at advancing research in embedded and networked AI systems.
Expected Results: 1) Networked scalable learning techniques that accommodate the dynamic topology, computing loads, data volume, resource availability and quality of service (QoS) requirements; 2) Network protocols to facilitate networked scalable learning; Networked scalable and continual learning in dynamic evolving environment
Efficient data transfer protocols for networked scalable learning
Candidate profile: computer science, machine learning, electrical engineering, telecommunication engineering, applied mathematics, or related areas.
Desirable skills/interests: machine learning, large language model, large AI model, signal processing, wireless communications, applied optimisation
We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities, as well as a great occupational pension scheme and a range of health-related support. Family allowance may be payable on eligibility and supporting evidence.
Research training and network fees are available up to £50,139.84 for 3 years.
The university may provide support for applying for a Global Talent Visa.
If you have any technical issues please contact us at: View email address on ca.snapjobsearch.com welcome applicants from all backgrounds and communities, we particularly welcome applicants who are currently under- represented in our workforce.