Search for a Supervisor

We warmly welcome enquiries from appropriately qualified applicants who are keen to register for doctoral research (PhD).

Please see the list below for a range of research topics that staff members of the Department of Management Science are interested in supervising.


Available for supervising PhD students willing to conduct research on carsharing systems.

View Burak's profile

I am interested in taking on PhDs in Supply Chain Forecasting. I would particularly welcome enquiries relating to intermittent demand forecasting, hierarchical forecasting and seasonal forecasting.

View John's profile

Willing to supervise in areas related to risk analysis

View Jeremy's profile

Calibrating and validating agent-based simulations for decision support.

View Catherine's profile

Dr. Fayoumi welcomes postgraduate and research students interested in procuring their research study under one of the research areas within his research interests. The following list specifies some topics that are of direct interest to Dr. Fayoumi: · enterprise modelling and enterprise architecture · applying natural science theories to explore socio-technical complex relations · model driven requirements engineering · design and architect of enterprise information systems (both process and applications) · knowledge engineering, particularly methods of transformation knowledge from informal to formal models · model-based organisation (conceptual modelling, metamodelling, logic formulation, and simulation) · strategic information systems and decision support systems.

View Amjad's profile

I am happy to supervise PhD students working in robust optimisation, optimisation for public transport or emergency management, and related areas.

View Marc's profile

I am interested in supervising further Ph.D students in the Sustainable Supply Chain Management area. In particular, there are opportunities to investigate: the impact of Modern Slavery Legislation on social sustainability in the Supply Chain; and Buyer-Supplier contracting for Sustainable Supply Chain Management.

View Linda's profile

I always welcome students with strong quantitative background interested in solving problems in the design and management of complex systems, where interaction of mathematics, statistics, computing, and/or economics is often beneficial. In particular, you will be looking for carrying out research in areas such as operational research, performance evaluation, stochastic modelling, queueing theory, applied probability, and/or machine learning, motivated by real-world problems in business decision-making, public health proccesses or communications networks.

If you are a self-funded PhD applicant or a master/PhD student elsewhere interested in visiting me for a short period, please contact me directly by e-mail. PhD funding is available through the Department of Management Science and through the STOR-i Doctoral Training Centre.

I currently co-supervise Faye Williamson on "Bayesian Bandit Models for the Optimal Design of Clinical Trials" at STOR-i (exp. 2018) and Jake Clarkson on "Optimal Search Accounting for Speed and Detection Capability" at STOR-i (exp. 2019), and Francis Garuba on "Robust and Stochastic Optimisation Approaches to Network Capacity Expansion and QoS Improvement" at Dept of Management Science (exp. 2019).

View Peter's profile

•Neural networks
•Temporal & structural hierarchies
•Model selection & parameterisation
•Intermittent demand
Promotional modelling in the context of supply chain

View Nikos's profile

I am interested in supervising PhD research projects in the following areas: 1. Performance-based contracting 2. Procurement and contracting for innovation (in public or private sector settings) 3. Contract functions in the governance of buyer-supplier relationships

View Kostas's profile

Supply Chain Flexibility; Supply Chain Risk and Resilience; Social Sustainability; Behavioral Operations Management; Production Planning and Control.

View Mark's profile

I am willing to supervise PhD students who have research interests around either 1) complexity within large Enterprise Systems implementations, or 2) how digital technology can be used within health and illness. The first research area can be tackled either from the perspective of the complex social interactions within the organisational structure of the project/programme, or from the perspective of the complexity arising from the technology itself. The second research area spans the wider topic of digital health, but I am specifically interested in how operational research techniques can be leveraged to assist us in understanding how disease and illness is developed at the cellular level, the human level, or propagated through a population.

View Richard's profile