Qualification Type: | PhD |
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Location: | Edinburgh |
Funding for: | UK Students |
Funding amount: | £19,237 - please see advert |
Hours: | Full Time |
Placed On: | 3rd February 2025 |
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Closes: | 28th February 2025 |
One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh.
The broad aim of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So, a key focus of this project is on reducing energy consumption contributed by running mobile radio/core network functions in a telecom operator’s virtualised infrastructure (data centre) by leveraging hardware/software accelerators and through energy-aware workload placement. The project overall will involve cutting-edge research towards holistic optimisation of energy efficiency in mobile networks by tackling the above challenges with novel system designs and tailored AI/ML based methods.
Candidate’s profile
Studentship and eligibility
This EPSRC-BT co-funded Industrial CASE doctoral studentship starting in the academic year 2025/26 covers:
*Rates are for 24/25 as 25/26 rates not yet confirmed
This studentship is suitable only for applicants eligible for “home fee” status.
Application information
Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: ICSA PhD Programme with a start date of 01-09-2025.
Applicants should state “Energy Efficient Mobile Networking Systems” and the research supervisor (Prof. Mahesh Marina) in their application and Research Proposal document.
Complete applications submitted by 28th February 2025 will receive full consideration; after that date applications will be considered until the position is filled. The anticipated start date is 1st September 2025.
Applicants must submit:
Only complete applications (i.e., those that are not missing the above documentation) will progress forward to Academic Selectors for further consideration.
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