Details of any specific funding opportunities available within the Department will be listed here, as and when they arise.
Applications are invited for a PhD Industrial CASE studentship funded jointly by the EPSRC and Shell plc. The studentship will commence in September 2016 and is based at the UCL Department of Statistical Science.
This studentship may only be awarded to applicants liable to pay tuition fees at the UK/EU rate (i.e. it cannot be used to part-cover overseas tuition fees), who have been ordinarily resident in the UK for 3 years prior to the start of the studentship. The procedure for determining one’s tuition fee status is outlined on the UCL website.
This project aims to develop innovative
statistical methods to inform the assessment of risk to marine
structures from extreme ocean conditions. Students with interests in
statistics, mathematics, computer science or a related quantitative
discipline are strongly encouraged to apply. Informal enquiries to Dr Paul Northrop are welcome.
The studentship is 4 years in duration, with the student spending 3 months on placement at Shell. The award covers tuition fees plus a tax-free maintenance stipend, which is currently £17,296 per annum.
The requirement for admission to the
MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class
Bachelor’s degree, or a Master’s degree with merit or distinction in
Mathematics, Statistics, Computer Science, or a related quantitative
discipline. Overseas qualifications of an equivalent standard are also
acceptable. Further details can be found on the Departmental website.
How to Apply
Candidates should apply for the Research Degree: Statistical Science (RRDSTASING01) in the usual way by completing the online form and, in addition (and very importantly), send a separate covering letter directly to the department making their case for the funding. The covering letter should be sent to Dr Russell Evans at email@example.com.
Applications will be considered on a rolling basis until the studentship is filled (i.e. the below closing date represents only a final deadline). You are therefore advised to apply as soon as possible.
Studentship Start Date:
31 Aug 2016
26 Sep 2016
There are also a number of relevant schemes funded from elsewhere within UCL.
UCL Graduate Research Scholarships (GRS) and Overseas Research Scholarships (ORS) aim to attract high-quality students to undertake research at UCL. Up to 20 GRS and approximately 40 ORS are available annually to prospective and current UCL research students.
Applicants will be considered for a GRS, and overseas fee payers will also be considered for an ORS . You only need to complete one application form to be considered for both of these funding schemes, provided you fulfil the relevant eligibility criteria.
Since a combined selection panel will consider ranked applications forwarded by all UCL departments, competition is stiff.
The China Scholarship Council (CSC) offers maintenance funding for postgraduate research students from China studying in the UK. The Department of Statistical Science may support a limited number of CSC applications from academically talented students by providing a scholarship that covers their PhD tuition fees.
In order to be eligible for the scheme, prospective students should apply for admission to the MPhil/PhD Statistical Science no later than mid-January and indicate clearly on the application form that the CSC is a potential source of funding. Applicants would then be informed by the end of February whether or not they will be considered for the tuition scholarship. This will provide enough time for them to complete the CSC scholarship online application form with the confirmation that they are to receive the tuition scholarship if awarded the CSC support.
The ATI offers a number of 3.5 year PhD scholarships aimed at students who wish to combine deep technical understanding in core competencies (including mathematical statistics, inference) with an appropriate degree of scientific breadth from an in-depth exposure across the spectrum of data science challenges and opportunities.
To participate in the scheme, students must be accepted for doctoral study in an academic discipline core to data science through one of the Institute’s founding partner universities (e.g. UCL), under the supervision of academic staff who are substantially engaged with the Institute.
Initial applications should be made directly to the ATI. For students interested in pursuing topics in data science, which include a strong overlap with areas of statistics, it may be advantageous to discuss research topics with staff members in the Department of Statistical Science so that they may be identified as potential supervisors at the time of application.
The Centre for Doctoral Training in Financial Computing & Analytics offers a number of 3 and 4 year PhD Scholarships, jointly funded by UCL and leading companies in the financial and business sectors.
Students interested in pursuing topics in financial computing,
which include a strong overlap with areas of statistics, can be nominated by the Department of Statistical Science (subject to eligibity).
Interested students should register with the Centre and also apply for admission to the MPhil/PhD Statistical Science, indicating clearly that the CDT is a potential source of funding.
The London NERC Doctoral Training Partnership at UCL offers 4 year scholarships to students interested in multidisciplinary research degrees in environmental science, which may have a strong overlap with areas of statistics.
Interested students should apply directly to
the DTP. It may be advantageous to
discuss research topics with staff members in the Department of
Statistical Science so that they may be identified as potential supervisors at the time of application. A list of PhD projects submitted by UCL researchers (some of whom are based in the Department of
Statistical Science) is available at the link below.
The Security Science Doctoral Research Training Centre (SECReT) at UCL offers 4 year PhD scholarships to students interested in multidisciplinary security- or crime-related research degrees, which may have a strong overlap with areas of statistics.
Interested students should apply directly for admission to the Department of Security and Crime Science. It may be advantageous to discuss research topics with staff members in the Department of Statistical Science so that they may be identified as potential supervisors at the time of application.