Computer Sciences Research PhD Studentships - EPSRC DTP Funded Ref: 3387

About the award

The University of Exeter EPSRC DTP (Engineering and Physical Sciences Research Council Doctoral Training Partnership) is offering up to 15 fully funded doctoral studentships for 2019/20 entry. Students will be given sector-leading training and development with outstanding facilities and resources. The EPSRC DTP studentships will be offered across the whole of EPSRC’s remit, with projects at the interface of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership with the Doctoral College.

The University of Exeter stimulates, supports and sustains a vibrant research and intellectual environment, across and between disciplines for postgraduate and early career researchers.  We have invested £350 million pounds in Science and Engineering since 2008 and we are one of the fastest growing and fastest rising research intensive universities in the UK.  We were ranked 16th out of 134 universities in the national Research Excellence Framework (REF) and 98% of our research is rated as being of international quality by REF2014.

For successful eligible applicants the studentship comprises:

  • An index-linked stipend for up to 3.5 years full time (currently £14,777 per annum for 2018/19), pro-rata for part-time students. 
  • Payment of University tuition fees (UK/EU)
  • Research Training Support Grant (RTSG) of £5,000 over 3.5 years, or pro-rata for part-time students

Supervisors
The supervisory team will be made up of at least two University of Exeter academic staff, the location for studying your PhD will be either on Streatham or Penryn campus, dependant on where the lead supervisor is based.

Funding Eligibility
These studentships will be funded by the EPSRC and are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes.  If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs. To be eligible for fees-only funding you must be ordinarily resident in a member state of the EU.  For information on EPSRC residency criteria click here.

There is a limited number (1-2 studentships) of fully funded studentships with open eligibility to support the very best students for those who do not meet the residency criteria requirements. 

International students interested in studying at the University of Exeter should search our funding database for alternative options.

Research Themes within Computer Science

The department brings together Computer Scientists and Mathematicians working on a variety of modern-day, interdisciplinary topics including problems of knowledge representation, machine learning, optimisation, image and signal processing. We have our own Beowulf parallel machine and access to the University's EPSRC-funded IBM supercomputer SP3 system.

In the area of machine learning, pattern analysis and statistical computation, which incorporates close collaboration with the mathematical sciences, we research a range of techniques for learning from data, including statistical and nature-inspired methods. Current and recent projects in this area have focused around application areas ranging from bio-medical imaging, face and speech recognition to air-traffic control and safety-critical software design. A strong research theme in this area is shape-based computer vision and image processing, particularly for image retrieval and object classification.

Research on optimisation methods focuses on techniques for evolutionary optimisation, particularly multi-objective optimisation. This work is currently being exploited in areas such as hydroinformatics, credit-card fraud detections, mobile phone network turning and bioinformatics problems. Closely related to these is research into biologically inspired algorithms, such as neural networks, swarm intelligence and artificial life, together with applications to bioinformatics.

Artificial intelligence research interests focus on spatial and temporal knowledge representation, with applications to geographical information science, and on the philosophical foundations of artificial intelligence and computer science.

In the area of hydroinformatics we are mainly concerned with the design and multi-objective optimisation of water distribution and related networks using iterative learning algorithms and neural networks; genetic algorithms; water systems. This is supported by EPSRC, EU and British Council contracts. The work involves collaboration with numerous UK and EU universities and industrial companies.

There are a number of pre-defined projects within each of the research themes listed below.  For more information about the themes please see the website https://www.exeter.ac.uk/pg-research/degrees/epsrc-themes/, or click on the theme title.  Details about the projects can be seen by clicking on the project title.

Research Theme:  Evolutionary Computing and Optimisation

Research Theme:  High Performance Computing and Networking

Research Theme:  Network and Complexity Science

 

Entry requirements

Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology.  Applicants with a Lower Second Class degree will be considered if they also have Masters degree or have significant relevant non-academic experience.

If English is not your first language you will need to meet the English language requirements and provide proof of proficiency. Click here for more information and a list of acceptable alternative tests

How to apply

To apply for ESRC DTP funding, you must click on the appropriate Computer Science research theme application link listed below.  If you are wishing to submit your own research proposal, please ensure you use the link 'submitting your own research proposal' and NOT directly to one of the themes listed.

You will need to upload the following documents to the studentship application form. Please note our preferred format is PDF, each file named with your surname and the name of the document, eg. “Smith – CV.pdf”, “Smith – Cover Letter.pdf”, “Smith – Transcript.pdf”:

  • CV
  • Letter of application outlining your academic interests, prior research experience.  You should also indicate which research project you are interested in, and the reasons for wishing to undertake the project.
  • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying.
  • Two references (see Reference information section below)
  • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English.  For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/.
  • If you are submitting your own research proposal, you must attach a completed research proposal form of up to 1,500 words including the name(s) of potential supervisors and the research theme under which your proposal should be considered.

Reference information
It is your responsibility to ensure that your referees email their references to pgrenquiries@exeter.ac.uk, as we will not make requests for references directly; you must arrange for them to be submitted by 07/01/2019. Please note that applications with missing documentation will not progress to shortlisting.

References should be in the form of a letter. Referees must email their references to us from their institutional email accounts. We cannot accept references from personal/private email accounts, unless it is a scanned document on institutional headed paper and signed by the referee.

All application documents must be submitted in English. Certified translated copies of academic qualifications must also be provided.
 

The closing date for applications is midnight (GMT) on 07 January 2019.  Interviews will be held at the University of Exeter Streatham Campus during the week of 04 February 2019.

In order to ensure your application reaches the correct panel, please apply via the theme links below.

Click here to submit an application for Evolutionary Computing and Optimisation

Click here to submit an application for High Performance Computing and Networking

Click here to submit an application for Network and Complexity Science

Click here if you are submitting your own Research Proposal 


If you have any general enquiries about the application process please email: pgrenquiries@exeter.ac.uk.
Project-specific queries should be directed to the supervisor.

Data Sharing
During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates.  These are not limited to, but may include disclosures to:

  • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs;
  • administrative staff at one or more other HEIs participating in the relevant programme.

Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent.

Summary

Application deadline:7th January 2019
Value:3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,777 per year.
Duration of award:per year
Contact: PGR Enquiries Team pgrenquiries@exeter.ac.uk