Publisher
source

University of Lancaster

Fully Funded PhD in Statistics and Operational Research with Industry Applications at Lancaster University Lancaster University in

Degree Level

PhD

Field of study

Data Science

Funding

Fully funded studentships are available for UK (including Republic of Ireland) and a limited number for non-UK applicants. Funding includes full tuition fees, a tax-free stipend of £22,780 in the MRes year, rising to £23,780 or £25,780 per year for the PhD years depending on industry funding, and allowances for research-related activities. Stipends increase upon successful progression to the PhD phase.

Deadline

Mar 31, 2026

Country

Lancaster University

University

University of Lancaster

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Keywords

Data Science
Mathematics
Operations Research
Doctoral Studies
Management Science
Statistic
Industrial Application
Strategic management
business analytics

About this position

The STOR-i Centre for Doctoral Training at Lancaster University is offering fully funded PhD studentships in Statistics and Operational Research, with a strong emphasis on industry collaboration and real-world impact. The programme is designed for students interested in applying advanced statistical and operational research methods to solve practical problems in business, the economy, and society. The four-year cohort-based scheme begins with an MRes foundation year, followed by three years of PhD research, and provides comprehensive training, mentorship from internationally recognized academics, and opportunities to work with leading industry and charitable partners such as BT Group, Haleon, Tesco, British Red Cross, and Cancer Research UK.

Applicants should have a strong quantitative background, ideally with a first class honours or master's degree in a relevant field. The studentship covers full tuition fees, a generous tax-free stipend starting at £22,780, and additional allowances for research activities. The programme welcomes both UK and international applicants, with a limited number of fully funded places for non-UK students.

Applications are open for October 2026 entry, and early application is encouraged as interviews and offers are made on a rolling basis. To apply, candidates should email their CV, cover letter, transcripts, fee status, and source of programme information to [email protected]. Successful applicants will be invited for interview, with UK candidates offered an in-person visit to the centre.

Funding details

Fully funded studentships are available for UK (including Republic of Ireland) and a limited number for non-UK applicants. Funding includes full tuition fees, a tax-free stipend of £22,780 in the MRes year, rising to £23,780 or £25,780 per year for the PhD years depending on industry funding, and allowances for research-related activities. Stipends increase upon successful progression to the PhD phase.

What's required

Applicants should have, or expect to obtain, a first class honours degree or a master's degree with substantial mathematical content, such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Relevant industrial experience is also considered. A strong quantitative background is essential. Applicants whose previous education was not in English must provide proof of English proficiency: IELTS with a balanced overall score of at least 7.0, or TOEFL with a score of at least 600 (paper), 250 (CBT), or 100 (iBT).

How to apply

Send your CV, a cover letter explaining your motivation, transcripts with marks, your fee status, and where you heard about the programme to [email protected]. Early applications are encouraged. UK applicants should apply by 31 March 2026; non-UK applicants by 31 January 2026. Shortlisted candidates will be invited for interview.

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