Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct groundbreaking research on networked scalable learning and AI systems.
- Company: Brunel University, a leading multidisciplinary research-intensive technology university.
- Benefits: Full PhD scholarship, competitive salary, and international tuition fees waived.
- Other info: Fixed-term contract with excellent opportunities for professional growth.
- Why this job: Join an innovative project with global impact and advance your research career.
- Qualifications: Strong background in computer science and research experience.
The predicted salary is between 40757 - 40757 £ per year.
Research Assistant (MSCA) with a PhD full scholarship on Networked Scalable Learning.
Department of Computer Science, College of Engineering, Design and Physical Sciences
Location: Brunel University of London, Uxbridge Campus
Salary: £40,757 per annum inclusive of London Allowance. 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.
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:
- Networked scalable learning techniques that accommodate the dynamic topology, computing loads, data volume, resource availability and quality of service (QoS) requirements;
- Network protocols to facilitate networked scalable learning;
- Optimisation schemes for dynamic resource allocation and computing load distribution.
Planned secondments:
- ST (3 months, M16‑M18, may be rescheduled): Networked scalable and continual learning in dynamic evolving environment
- IMEC (4 months, M27‑M30, may be rescheduled): Efficient data
Research Assistant (MSCA) with PhD Full Scholarship in London employer: Brunel University London
Contact Detail:
Brunel University London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant (MSCA) with PhD Full Scholarship in London
✨Tip Number 1
Network with current and former researchers in your field. Reach out on LinkedIn or attend relevant conferences to make connections. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for interviews by practising common questions related to research methodologies and your specific area of interest. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your passion for the subject during interviews. Talk about your previous projects and how they relate to networked scalable learning. We want to see your enthusiasm and commitment to advancing research!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Research Assistant (MSCA) with PhD Full Scholarship in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the research focus on networked scalable learning. We want to see your passion for the subject, so don’t hold back!
Showcase Relevant Experience: Include any previous research or projects that relate to AI systems or network protocols. We love seeing how your background fits into our vision, so be specific about your contributions and outcomes.
Be Clear and Concise: Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your materials correctly and can review them promptly.
How to prepare for a job interview at Brunel University London
✨Know Your Research
Dive deep into the specifics of networked scalable learning and the ANT project. Familiarise yourself with recent advancements in embedded AI systems, as this will show your genuine interest and understanding during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to computer science and AI. Brush up on relevant theories, algorithms, and protocols that pertain to the role. Practising problem-solving scenarios can also give you an edge.
✨Showcase Your Collaboration Skills
Since this position involves working within a multidisciplinary team, be ready to discuss your past experiences in collaborative projects. Highlight how you’ve effectively communicated and contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the PhD programme, the research environment at Brunel University, and potential secondments. This not only demonstrates your enthusiasm but also helps you gauge if the position aligns with your career goals.