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. We also have a selection of PhD topics for you to choose from.

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 Jerry's profile

I have been supervising PhD and professional doctorates in the following areas: Project management, project success and failure, agile development and management, benefits and value in projects, information systems, development life cycles and processes. Please get in touch if you would like to discuss a research area or a specific topic.

View Darren'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, approximate dynamic programming, queueing theory, applied probability, and/or machine learning, motivated by real-world problems in business decision-making, public health proccesses or communications networks.

I currently co-supervise 7 PhD students. PhD funding is available through the Department of Management Science and through the STOR-i Doctoral Training Centre. 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.

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.

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. Governance of buyer-supplier relationships 2. Performance-based contracting 3. Procurement of innovation (in public or private sector settings)

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

Smart Parks, Disaster Management System

View Juliana's profile

I am looking for PhD students eager to work in the areas of Statistical Methods of Forecasting, Marketing Analytics and Time Series Analysis. The perfect candidate should not be scared of mathematics (are you comfortable with linear algebra, probability theory, mathematical statistics and information theory?) and should either know or be ready to learn how to program (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. NOTE: If you want to apply for PhD under my supervision, you need to answer the following question in the first email you send me: When, by whom and in what paper was the Single Source of Error state space model first proposed?

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 social movements and in socially or economically disconnected populations, IT in supply chain and operations management.

View Monideepa's profile

I am interested in PhD research projects in the area of project management in general and more specifically in the psycho-social and relational aspects of project management. Please get in touch if you would like to discuss an idea.

View Christine's profile

I am willing to supervise PhD students who have research interests around computational modeling and simulation of complex real-world systems. My expertise are within agent-based modeling and simulation of complex biological and social systems, however I am interested in modeling and simulation techniques broadly. I have two main research interests: 1) computational modeling and simulation of complex systems in order to allow us to use simulation-based experimentation to answer novel questions of the real-world; 2) using existing computational models to enable us to develop novel statistical and software engineering techniques to ensure that computational models, especially agent-based models, are fit-for-purpose.

View Richard's profile

PhD Topics

If you are considering applying for a PhD, please choose one (or two) of the following areas and write a brief description of the research you are interested in.

  • Marketing Analytics & Forecasting
  • Health Systems
  • Information Systems
  • Supply Chain Management
  • Optimisation
  • Simulation and Stochastic Modelling
  • Transport and Logistics