Title: SH16: Developing novel AI techniques to mobile network coverage
Funding: Full time Home/EU fees and a stipend of £15,009 p.a.
Application deadline: 14 June 2019
Start date: October 2019
Duration: 3 years (full time)
Location: Colchester Campus
This studentship is now closed. See our current opportunities.
Mobile phone operators have a need to increase its mobile network coverage in the UK. There are two difficulties with the current network. Firstly, not all areas of the UK are within range of a mobile mast. Secondly, in some areas there is insufficient bandwidth to handle the number of calls being made.
Both of these problems are particularly acute in urban areas, where there is high usage, a high density of tall buildings which obstruct signals, and a lack of suitable mast locations. The choice of cell location depends on a number of factors including elevation (increases coverage):
The award consists of a full Home/EU fee waiver or equivalent fee discount for overseas students (further fee details), a doctoral stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£15,009 in 2019-20), plus £2,500 training bursary via Proficio funding, which may be used to cover the cost of advanced skills training including conference attendance and travel.
At a minimum, the successful applicant will have a good honours BSc degree (1st class or high 2:1, or equivalent) in computer science or related subjects. An MSc with Merit or Distinction is desirable (but not essential for students with a first class degree). Strong analytical and mathematical skills are required, as well as good programming skills.
Understanding and/or experience in/of:
You can apply for this postgraduate research opportunity online.
Please include your CV, covering letter, personal statement, and transcripts of UG and Masters degrees in your application.
The University has moved to requiring only one reference for PhD applications and these can be received after a conditional offer has been made so the absence of these will not hold up the recruitment process.
Instruction to applicants
When you apply online you will be prompted to fill out several boxes in the form:
If you have any informal queries about this opportunity please email the supervisor, Professor Hani Hagras (firstname.lastname@example.org)