Conduct research that provides insight into high-technology industries
Start date: September 2027
Duration: Five to six years
Location: London, UK
Tuition fees: Fully-funded
Next application deadline: 2 December 2026
Within the field of Operations Management, students and faculty study the design and management of production and business processes across the manufacturing and services sectors.
Our doctoral students benefit from:
- the multidisciplinary nature of the Operations Management Department, which provides a rich research community through collaboration with other Departments in 海角社区, such as Computing, Engineering and Mathematics;
- the broad research interests and expertise of our faculty, from services, pricing and transportation, to risk management, machine learning and the interface between operations management and marketing.
Ready to take the next step? Start your application » to join our community.
Key information
Benefit from the supervision of eminent world scholars.
Develop rigorous research foundations through our Master's in Research.
Study in London, Europe's start-up capital and a major global business hub.
Specialise in innovative research areas where business interconnects with science, engineering, medicine and technology.
Begin an inspiring academic career, joining some of the world鈥檚 best research centres and universities.
PhD Tabs
The Business School is home to several research centres and institutes that bring together academics and specialists across disciplinary, departmental, faculty and in some cases institutional boundaries. Each centre has been formed to advance study in a particular thematic area, uniting research and practice to enhance the impact of our work.
Gandhi Centre for Inclusive Innovation
The Gandhi Centre for Inclusive Innovation links innovation and entrepreneurship in companies and institutions globally, through thought leadership, research, technology, and next-generation innovation models.
Centre for Health Economics & Policy Innovation
The Centre for Health Economics & Policy Innovation (CHEPI) is a global leader in research and teaching on health economics, policy, and management.
ImperiaCentre of Excellence in Quantitative Finance
The ImperiaCentre of Excellence in Quantitative Finance is a hub for research in Quantitative Finance across all of 海角社区, and a catalyst to further scale up its close ties to the financial industry.
PhD students on the Graduate Teaching Assistant (GTA) scholarship will undertake 150 hours of teaching assistant duties from year three of the programme. There will be opportunities to teach on our analytics and big data modules on programmes such as MSc Business Analytics & AI and our MBA programmes.
PhD students within Operations Management conduct research into a wide variety of areas. Previous thesis topics include:
|
Name |
Thesis |
Supervisor |
|---|---|---|
| Shubhechyya Ghosal | Capacitated Vehicle Routing Under Uncertainty | Professor Wolfram Wiesemann |
| Esma Koca | Product Release Strategies in the Digital Economy | Professor Wolfram Wiesemann, Professor Tommaso Valletti |
| Narges Mohammadi | From One-size-fits-all to Tailored Care: Navigating Trade-offs in Efficiency, Equity, and Interpretability in Healthcare Delivery | Dr Reza Skandari and Dr Anand Shah |
| Aras Selvi | Models and Algorithms for Safeguarded Data-Driven Decision Making | Professor Wolfram Wiesemann |
| Hanzhao Wang | Artificial Intelligence in Operations Management: AI-Driven Techniques for Decision Making | Professor Kalyan Talluri |
| Zhengchao Wang | Decision Making under Uncertainty: Randomization, Online Learning, and Applications | Professor Wolfram Wiesemann and Dr Heikki Peura |
Meet your faculty
Our PhD programme provides close collaboration between leading Analytics & Operations faculty and doctoral students, developing your research interests and providing continuous support and guidance throughout the programme. They hold expertise within applied mathematics, business systems in context, theory of computation, numerical and computational mathematics, operations research, machine learning and artificial intelligence.