
The University of Strathclyde in Glasgow offers a fully funded 3-year PhD scholarship for a research project on improving the effectiveness of complex multi-echelon supply chains under uncertainty, with a focus on emergency and disaster scenarios. The successful candidate will develop mathematical optimization models, custom algorithms, and data-analytics tools to tackle questions such as whether cooperative strategies improve post-disaster planning, what recovery time is achievable after a disruption, and how to prioritize which customers or products to serve. The scholarship covers all university tuition fees at the UK (home) level for 3 years and provides an annual tax-free stipend of about £19,000 (about €22,000 est.) per year. International students are welcome to apply, but normally need to cover the difference between home and international tuition fees themselves; exceptional international candidates may receive funding to cover that difference. Applicants must hold a first-class honours undergraduate degree, ideally in a highly quantitative subject such as Computer Science, Operations Research, Mathematics, Statistics, or Engineering; a strong Master's-level qualification and object-oriented programming skills are advantages. The primary supervisor is Professor Kerem Akartunali, who can be contacted directly about the project. The closing date for the relevant cycle is around 31 March 2026 (est.). Because the stipend rate, the fee position for international applicants, and the deadline are set each year, confirm the current 2026/2027 figures and deadline on the official University of Strathclyde page before you apply.
Applications are made to the University of Strathclyde for the specific PhD project; prospective applicants are encouraged to contact the supervisor before applying.
The project is supervised by Professor Kerem Akartunali (kerem.akartunali@strath.ac.uk), who can be contacted with informal enquiries before applying.
United Kingdom (home students fully funded), All countries (international students, subject to fee-difference funding)
Selection is based on academic excellence and fit with the project. The supervisory team looks for a first-class honours degree in a quantitative discipline, a strong Master's-level qualification where held, and object-oriented programming ability, alongside the candidate's research statement and references. Shortlisted applicants are normally interviewed, and the funded place is offered to the candidate judged best able to develop the mathematical optimization models and algorithms the project requires.
The University of Strathclyde is a public research university in Glasgow, Scotland, in the United Kingdom. Its Department of Management Science is a centre for operational research and supply chain analytics, supervising doctoral research that develops mathematical optimization models and algorithms for real-world decision problems.
Answers below are best-effort estimates from the most recent application cycle. Values marked ~ or (est.) may shift year-to-year — confirm specifics on the official scholarship page.
Applicants for the supply chain optimization PhD project who hold a first-class honours degree, preferably in a quantitative subject such as Computer Science, Operations Research, Mathematics, Statistics, or Engineering.
All UK-level tuition fees for 3 years plus an annual tax-free stipend, making it a fully funded doctoral award.
About £19,000 (about €22,000 est.) per year, tax-free. Confirm the current rate on the official Strathclyde page.
The scholarship funds 3 years of full-time PhD research.
Yes, but international applicants normally need to cover the difference between home and international tuition fees; exceptional candidates may have that difference funded.
A first-class honours undergraduate degree is essential, and an excellent Master's-level qualification is preferred, ideally in a quantitative subject.
Proficient object-oriented programming skills are highly desirable and treated as an advantage, given the project's algorithm-development focus.
Developing mathematical optimization models and algorithms to improve complex multi-echelon supply chains under uncertainty, especially during emergencies and disasters.
Professor Kerem Akartunali is the primary supervisor and can be contacted at kerem.akartunali@strath.ac.uk.
Contact the supervisor, then submit a PhD application via the University of Strathclyde online system referencing the project, with transcripts, references, and a research statement.
Around 31 March 2026 (est.) for the relevant entry. Always verify the current closing date on the official site.
Check the official University of Strathclyde scholarships and Department of Management Science pages for the current stipend rate, fee position, and deadline.