You will have the opportunity to work on efficient application of artificial intelligence and machine learning in support of traffic steering, switching and splitting for multipath delivery of Internet services in 5G/6G networks.
- Qualification Type: PhD
- Hours: Full Time
- Title of project: Network Intelligence for Multipath Support in 5G/6G Networks
- Placed On: 25th May 2022
- Closes: 24th June 2022, or until places have been filled.
Applications are invited for a PhD studentship in the Department of Engineering. The successful candidate will have the opportunity to work on efficient application of artificial intelligence and machine learning in support of traffic steering, switching and splitting for multipath delivery of Internet services in 5G/6G networks.
This PhD project will be done in collaboration with Deutsche Telekom Research. This will enable the PhD candidate to work alongside world-class researchers and developers with extensive experience of developing novel networking solutions.
The work in this PhD project will involve analytical research, critical review, algorithm development, software implementation and testing.
Artificial intelligence (AI) and machine learning techniques have great potential to tackle the challenges of modern wireless telecommunication systems (5G and 6G). AI methods can be explored for the design and optimization of 5G/6G network architecture in a cost-efficient manner.
By learning the complex network topology and varying traffic patterns, AI could control network complexity for the design of cheaper and more efficient networking solutions.
The successful candidate will be given an opportunity to develop their research skills, as well as to develop to a very high level their programming, algorithm development and network system testing skills.
The successful candidate will be encouraged to publish results of their research at leading international conferences and in top-tier journals. They will be encouraged to communicate directly with potential or actual industrial partners.
Eligibility and requirements
The candidate should ideally have either an MSc or an MEng degree (or equivalent, or higher) in Electrical/Electronic Engineering or Computer Science. Candidates with BEng/BSc degrees with a strong interest in machine learning and artificial intelligence are encouraged to apply.
Some experience with Linux programming and knowledge of machine learning will be considered as an advantage.
This studentship is available for UK (home) candidates only.
The studentship is for 3 years and will provide full coverage of tuition fees (Home only) and an annual tax-free stipend of £16,000.
Each student would also have the opportunity to earn additional income through a teaching assistantship.
How to apply
If you are interested in applying, you are encouraged to email initial informal enquiries to Dr Veselin Rakocevic.
Visit our Electrical and Electronic Engineering research degree web page for further information on making a formal application.
When submitting your application, enter the title “Network Intelligence for Multipath Support in 5G/6G Networks” and you will automatically be considered for this studentship.
You do not need to submit a proposal as part of your application as the project has already been outlined.
The online application can be found in the ‘How to apply section’ in the web link above and should include the following supporting documents:
- Copies of Degree Certificates and Transcripts in official English translation - original will be requested before an offer is made.
- Official work e-mail addresses (not private ones) for two referees (one of which must be an academic).
- Proof of English Language proficiency (minimum average score of 6.5 IELTS, with a minimum of 6.0 in each of the four components) if English is not your first language.
The outcome of the selection process should be announced by the end of July. The successful candidate will formally start their doctorate in October 2022.
For queries regarding the application process, please email the School.
Equality, diversity and inclusion
City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture, for our whole community, including staff, students and visitors.
We welcome applications regardless of gender, sexual orientation, disability, marital status, race, nationality, ethnic origin, religion or social class. For more information on our approaches to encouraging an inclusive environment, please see our Equality, Diversity and Inclusion pages.