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

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

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

View Nikos's profile

I am willing to supervise doctoral students in the following areas: 1. Research related to improving the practice of simulation modelling methods (agent-based simulation, discrete-event simulation, hybrid simulation) 2. Behavioural simulation (to understand how modellers build a simulation model, or how users use a simulation model for decision making) 3. Social science simulation (evaluating and generating theories in social science, such as risk perception and collaborations) 4. Research related to conceptual modelling in simulation Topic areas related to the applications of simulation would be considered

View Stephan'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

Workload Control; Supply Chain Flexibility; Supply Chain Resilience; Social Sustainability; Behavioral Operations Management.

View Mark's profile

I am willing to supervise PhD students who have research interests around either 1) complexity within large ERP software 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