Fully Funded PhD Studentships in Statistics and Operational Research (STOR-i)
Join a cohort-based 4-year PhD programme at Lancaster University focused on solving real-world industrial challenges through statistics and operational research.
Best for:Best for high-calibre graduates with a strong mathematical background seeking to apply statistics and operational research to real-world industrial problems.
Overview
The STOR-i Centre for Doctoral Training at Lancaster University offers a unique 4-year PhD programme that bridges the gap between academic research and industrial application. Students work on methodological advancements inspired by contemporary challenges from a wide network of industrial and charitable partners. The programme is cohort-based and includes structured training modules to develop advanced research skills under the mentorship of internationally recognized academics. Graduates are well-prepared for diverse careers in both academia and industry, having gained significant experience in mathematical innovation and collaborative problem-solving.
What you'll do
- Conduct original research to solve complex industrial and societal challenges using statistical and operational research methods.
- Participate in a structured 4-year PhD training programme, including completion of core research skills modules.
- Collaborate directly with industrial and charitable partners on research projects.
- Engage in cohort-based activities and networking within the STOR-i community.
- Contribute to methodological advancements in statistics and operational research.
- For TechFirst students, participate in up to 10 days of annual outreach and networking activities.
Requirements
Degree required: First-class honours degree or equivalent in a subject with substantial mathematical content (e.g., Mathematics, Statistics, Physics, Management Science, or Computer Science).
Degree offered: PhD
Language: English proficiency required for academic study.
Instruction: English
- Strong background in mathematics, statistics, or a related quantitative discipline.
- Ability to apply mathematical innovation to real-world problems.
- Capacity for independent research and collaborative teamwork.
- High academic achievement (typically first-class honours or equivalent).
- Open to candidates meeting the academic requirements for doctoral study at Lancaster University.
- Funding eligibility varies by fee status (Home vs. International).
Funding & terms
How to apply
Interested candidates should create an account on the Lancaster University online postgraduate application portal. Submit the required application materials through the portal. Early applications are encouraged as interviews are conducted on an ongoing basis.
- Academic transcripts
- CV
- Personal statement
- Reference letters
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.