XClose

Statistical Science

Home
Menu

Research Studentships

Departmental Funding

Applications are invited for a number of PhD funding opportunities based in the Department of Statistical Science, UCL. 

The Department is among the three largest Statistics groups in the UK with more than 30 academic members of staff. Research in the Department is organised into six themes: biostatistics; computational statistics; economics, finance and business; general theory and methodology; multivariate and high dimensional data; stochastic modelling of complex systems. Research often cuts across these areas. Much of this work is interdisciplinary and involves collaborations within and outside UCL.

Studentships with starting date up to the end of August 2021

Three EPSRC-funded studentships. These can involve any topic within the Statistical Science remit, although applications to the following topics are particularly welcomed:

These studentships will be 4 years in duration (or 6 years for part-time candidates) and cover tuition fees at the UK rate, an annual maintenance stipend (£17,285 in 2020/21, rising with inflation each year) and a small allowance for consumables. To be eligible for a full award, applicants must normally have no restrictions on how long they can stay in the UK and must have been ordinarily resident in the UK for 3 years prior to the start of the studentship. Applications from exceptional candidates who do not meet these criteria will also be considered (as EPSRC allows universities to offer a limited number of studentships with open eligibility).

Studentships with starting date between September 2021 and August 2022

Several (i) EPSRC studentships, and (ii) Departmentally-funded Teaching Assistantships. These can involve any topic within the Statistical Science remit.

The EPSRC studentships will be 4 years in duration (or 6 years for part-time candidates) and cover tuition fees at the UK rate, an annual maintenance stipend (as per the indicative value given above) and a small allowance for consumables. These studentships are open to both home and international candidates, but the total number of international awards is capped.

The Teaching Assistantships will be 3.5 years in duration (or 6 years for part-time students) and cover tuition fees up to the Overseas rate, an annual maintenance stipend (indicative value above) and a small allowance for consumables. Full-time students will spend 6 months of their time teaching (spread across the 3.5 years) and devote the remainder to undertaking their research. These studentships are open to both UK and Overseas candidates.

Person Specification

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. International qualifications of an equivalent standard are also acceptable. Further details can be found on the Departmental website.

The requirements for appointment as a Postgraduate Teaching Assistant – relevant in particular for the Teaching Assistantships – are detailed in the PGTA person specification.

How to Apply

Candidates will need to identify and be in contact with a prospective supervisor in the department in advance of submitting an application.

All candidates should first apply for admission to the Research Degree: Statistical Science (RRDSTASING01) by completing the standard UCL online form. In addition, the following documents should then be sent to stats.pgr-admissions@ucl.ac.uk to complete the funding application.

1.    Funding application form (to be completed by the candidate)
2.    Supervisor reference form (to be completed by the prospective supervisor)
3.    Diversity data form (to be completed by the candidate)

All documents should be submitted using the provided templates and in PDF format. Applications will be considered on a rolling basis – with the next round of decisions on 14 April 2021 –  until all the studentships are allocated. In order to be considered in the 14 April selection round, all documents must have been submitted no later than 11 April 2021.

UCL Funding

UCL Research Scholarships

UCL Graduate Research Scholarships (GRS) and Overseas Research Scholarships (ORS) aim to attract high-quality students to UCL to undertake research. Awards are made annually to prospective and current UCL research students. Since a combined selection panel will consider ranked applications forwarded by all UCL departments, competition is stiff.

Full details on these scholarships, inlcuding the eligibility requirements and application procedure are available from the links below. Applicants will be considered for a GRS, and overseas fee payers will also automatically be considered for an ORS.

The contact in the Department of Statistical Science for step 2 of the application procedure is:

Ms Marina Lewis
stats.pgr-admissions AT ucl.ac.uk

The deadline for completing both steps of the application procedure is 13 January 2021.

CSC-UCL Joint Research Scholarship

Funding offered by UCL and the China Scholarships Council (CSC) aims to expand the educational, cultural and technological co-operation between the UK and China.

Ten awards are available for students intending to pursue research within the Faculty of Mathematical & Physical Sciences (which includes the Department of Statistical Science). A further five awards are available for students intending to pursue research in any subject area in accordance with the CSC’s priorities.

Candidates must first apply for admission to and tuition fee funding from UCL before submitting an application to the CSC. The application for admission to UCL should be submitted directly by the candidate using the online form. The candidate's prospective supervisor should then contact Ms Marina Lewis to express an interest in the candidate being nominated for the tuition fee funding. The deadline for completing both these steps is 13 January 2021.

    UCL Research Opportunity Scholarship

    UCL's Research Opportunity Scholarship (UCL-ROS) is intended to support BME postgraduate research degree students. The scheme offers full financial support and a skills development programme, both designed to promote academia as a more attractive career option. Applicants must be a UK-permanent resident from one of the following BME ethnic groups:

    • Black (Black or Black British African, Black or Black British Caribbean, Black or Black British other or Mixed Black or Black British)
    • Pakistani (Pakistani or Pakistani British, or Pakistani Mixed or Pakistani Mixed British)
    • Bangladeshi (Bangladeshi or Bangladeshi British, or Bangladeshi Mixed or Bangladeshi Mixed British)

    Further details about this scholarship (including how to apply) are available from the link below. The contact in the Department of Statistical Science is Ms Marina Lewis (stats.pgr-admissions AT ucl.ac.uk). In order to be considered for UCL-ROS, candidates must have submitted their admission application and contacted the Department no later than 13 January 2021.

    Doctoral Training Centres

    The London NERC Doctoral Training Partnership

      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.

      UCL Security Science Doctoral Research Training Centre

      The SECReT international centre for PhD training in security and crime science 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.

      Centre for Doctoral Training in Data Intensive Science

      The Centre for Doctoral Training in Data Intensive Science (DIS) offers 4 year PhD scholarships. DIS encompasses a wide range of areas in the field of 'big-data' including the collection, storage and analysis of large datasets, as well as the use of complex models, algorithms and machine learning techniques to interpret the data. Over 80 academics from across UCL are involved in the Centre, including some from the Department of Statistical Science.

      Interested students should apply directly for admission to the Department of Physics and Astronomy. 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.

      Centre for Doctoral Training in Foundational Artificial Intelligence

      The UCL Centre for Artificial Intelligence is host to the UKRI funded Centre for Doctoral Training in Foundational Artificial Intelligence. The CDT provides training and is supported by a large body of industry partners to help the UCL team create an exciting platform to launch the students’ careers as scientists or AI entrepreneurs.

      Interested students should apply directly for admission to the Department of Computer 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.

      Health Data Research UK/Turing PhD Programme

      the HDR UK/Turing PhD Programme aims to develop future leaders in health data science. Its underlying philosophy is that health data science requires a combination of expertise spanning three fundamental areas: statistical, computational and health sciences.

      Interested students should apply directly to HDR UK. 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.