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Dr Murray Pollock

***Note: Murray Pollock is based at Newcastle University. Contact details on the right panel***

Murray Pollock is a Senior Lecturer based within the School of Mathematics, Statistics and Physics at Newcastle University, and an Honorary Associate Professor based within the Department of Statistics at the University of Warwick. Prior to this he was based within the Department of Statistics at the University of Warwick, initially as a Ph.D. student (under the supervision of Prof. A.M. Johansen and Prof. G.O Roberts FRS), then subsequently as a Research Fellow (on the project 'Intractable Likelihood: New Challenges from Modern Applications' held jointly between Bristol, Lancaster, Oxford and Warwick universities) and an Assistant Professor. Before entering academia he worked as an actuary in the US (Philadelphia) and Spain (Madrid).

Research Students

  • Current (Warwick) Ph.D. students:
  • Prospective Ph.D. students:
    • ...who I am looking for: I am always happy to speak to well qualified prospective research students (particularly Ph.D. students) who are interested in working in Computational Statistics and Probability. If you send me an email enquiring about a Ph.D. then it is useful (for me) if you state your motivation for both your topic and for pursuing a Ph.D. I get a lot of Ph.D. enquiries, and although I don't expect in-depth knowledge of the topic, it's critical you can demonstrate you are well motivated and that we will "get along".
    • ...If you want to work with me specifically: You should apply as a Ph.D. student to Newcastle University: this can either be directly to the School, or to the CDT in Cloud Computing and Big Data. I'd advise that you contact me in the first instance and before applying as I can give you a lot more detail.
    • ...If you are based at Warwick / want to study at Warwick: I am based at Newcastle University, and so I would be acting as an (informal) second supervisor and we would need to identify a suitable primary supervisor at Warwick and a suitable project. I have on-going collaborations with Paul Jenkins and Gareth Roberts, and so they are at least one possibility and a starting point for discussions.
    • ...what projects and funding are available?: In the U.K. in mathematics and statistics, "projects" are really only a loose starting point for research. The most important thing is identifying a research area and supervisor(s) you are interested in working with, and a project is useful as far as framing initial work and satisfying funders. Admission to a Ph.D. programme and funding are typically separate from one another, and it is comparatively rare for funding to be tied to a specific body of work. In principle, I am happy to supervise students who align with my current research interests (see below), and the following are possible starting points for projects (although do email me in advance):
      • "Non-reversibility for modern data science applications" (jointly with Darren Wilkinson (Newcastle))
      • "Developing statistical methodologies tailored to modern computer architectures" (jointly with Darren Wilkinson (Newcastle))
      • "Distributed Likelihood with Modern Applications" (jointly with Louis Aslett (Durham) and/or Hongsheng Dai (Essex) and/or Gareth Roberts (Warwick))
      • "Teleportation MCMC"
      • Something related to my current research interests: Cryptography; Monte Carlo methodology; Perfect simulation; Risk modelling; Computational methodology for stochastic differential equations.
      • Feel free to make a suggestion...
    • ...what form does the supervisory relationship take?: We would meet regularly once per week for around an hour, and may meet more often depending on the where we are in the project (for instance: near the beginning, near submission etc.). I prefer to offer projects jointly with other researchers who I too can learn something interesting from, and indeed finding open research problems at the intersection of the interests of two researchers can be very fruitful. The initial project will typically be at a good starting point leading to a good paper, but the expectation is this will organically develop and be led by the students interests. All students are expected to sit-in on practical training, and regularly attend research group meetings, along with relevant seminars and reading groups.

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Contact Details

School of Mathematics, Statistics and Physics
Newcastle University
Newcastle-upon-Tyne
NE1 7RU
murray dot pollock at newcastle dot ac dot uk