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. PhD funding is available through the Department of Management Science and through the STOR-i Doctoral Training Centre.

Currently I am specifically looking for students interested in research on the optimal design and conduct of modern adaptive clinical trials (such as platform, umbrella and basket trials), which can be modelled as Bayesian multi-armed bandit problems.

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.

I currently co-supervise Faye Williamson on "Bayesian Bandit Models for the Optimal Design of Clinical Trials" at STOR-i (exp. 2019) Jake Clarkson on "Optimal Search Accounting for Speed and Detection Capability" at STOR-i (exp. 2019), Stephen Ford on "Dynamic allocation of assets subject to failure or depletion" at STOR-i (exp. 2020), Francis Garuba on "Robust and Stochastic Optimisation Approaches to Network Capacity Expansion and QoS Improvement" at Dept of Management Science (exp. 2019), and Ugur Satic on "Simulation and Optimization of Scheduling Policies in Dynamic Stochastic Resource-Constrained Multi-Project Environments" at Dept of Management Science (exp. 2020).

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 looking for PhD students to work on exact solution algorithms for NP-hard optimisation problems. Candidates need to be comfortable with mathematics. Experience in programming (in, e.g., C, Julia, MatLab or Python) is highly desirable, as is basic knowledge of linear algebra and graph theory.

View Adam'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 looking for PhD students eager to work in the areas of Forecasting, Marketing Analytics and Time Series Analysis. The perfect candidate should not be scared of mathematics and should either know or be ready to learn how to programme (preferably in R). The candidate should also be able to look into the future and understand that it is not what it used to be.

View Ivan's profile

Topics include design and use of IT in the context of: organizational and societal innovation, organizational and individual well-being, human-machine collaboration/artificial intelligence, dark side of IT use (e.g. technostress, technology addiction), digital health, healhcare IT, IT in emerging/developing economies, IT in socially or economically disconnected populations, IT in supply chain and operations management.

View Monideepa'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 techniques from operational research and information systems can be leveraged to assist us in understanding how disease and illness is developed and propagated.

View Richard's profile