Applications are invited for two PhD positions at the School of Mathematics, University of Edinburgh, to work with Dr Sara Wade and Prof Konstantinos Zygalakis, respectively.

For more information on the project with Dr Wade and how to apply, please visit this page. The project will have a strong computational focus on Bayesian methods for machine learning and AI.

For more information on the project with Prof Zygalakis and how to apply, please visit this page. The offered topic is "Markov Chain Monte Carlo with applications to Computational Imaging and Machine Learning".

Both positions will be part of the Maxwell Institute Graduate School, in the Statistics and Applied and Computational Mathematics programmes, respectively. The application deadline is January 20th 2025.

We are currently seeking a number of PhD researchers in areas of Probability, Statistics and Machine Learning for the Prob_AI Hub.

Ideal PhD candidates should have strong mathematical skills with an undergraduate degree in Mathematics or a related numerical discipline. A background and experience in Mathematics, Statistics, Machine Learning, or closely related fields, with a master’s degree in one of these areas, is highly desirable.

The successful candidate for this position will receive a tax-free studentship stipend of £18,622 per year, along with paid tuition fees, for up to 3.5 years, subject to satisfactory progress. A training budget and funds for attending international conferences will also be provided. Due to tuition fee restrictions, these positions are only available to applicants who are eligible for UK fee status.

The successful candidate will be based in the Department of Mathematics and Statistics at Lancaster University. Supervision will be provided by one of the Lancaster academics within the Prob_AI Hub and supervisors will be allocated based on the alignment between the PhD project and the student’s research interests.

Click here for further details, including how to apply.

Up to two funded-PhD studentships are available in the Department of Mathematics at the University of Manchester. These posts are suitable for students who are interested in working at the interface between numerical analysis of differential equations and AI and ML methods. Studentships are only available for students meeting the criteria for UK Fee Status. For details about potential projects and how to apply see here. Enquiries should be directed to i Catherine Powell <Catherine.Powell@manchester.ac.uk>.

Applications are invited for two PhD positions in “Probabilistic Artificial Intelligence” at the Department of Statistics, University of Warwick. The successful applicants will be part of the ProbAI project, a £9m UKRI-funded project with hubs in Warwick, Bristol, Cambridge, Edinburgh, Lancaster and Manchester. Probabilistic Artificial Intelligence involves the embedding of probability models, probabilistic reasoning and measures of uncertainty within AI methods. The ProbAI hub is developing a world leading, diverse and UK-wide research programme in probabilistic AI in order to develop the next generation of mathematically-rigorous, scalable and uncertainty-aware AI algorithms.

These studentships will be based at the University of Warwick Statistics Department. Within the Statistics department there is wide expertise in probability, computational statistics, and Bayesian statistics (amongst others). There are also broader interests covering many related areas in the neighbouring Depts of Mathematics and Computer Science.

 Applicants should have an interest in Machine Learning or Artificial Intelligence interpreted widely, and applicants with more theoretical, more applied and/or more computational interests are equally encouraged to apply. A background in machine learning is helpful but more value is placed on a rigorous mathematical and statistical education.

 Successful applicants will have PhD fees covered as well as receiving an annual stipend at the EPSRC rate (£20,140 for academic year 25/26) and a generous Research Training and Support fund to cover research equipment and travel costs. Studentships will be for up to 4 years. Successful applicants will have the opportunity to join the Warwick Centre for Doctoral Training in Statistics (https://warwick.ac.uk/fac/sci/statistics/postgrad/centre-for-doctoral-training/).

How to apply

Applicants should apply directly to the Warwick PhD admissions portal and quote ProbAI in the application (in the personal statement and in the source of funding). If you are potentially interested in other PhD opportunities in Warwick Statistics, you can also indicate that in your personal statement and/or source of funding. All general information can be found at https://warwick.ac.uk/study/postgraduate/apply/research.

 To be considered for these ProbAI positions, you are advised to apply as soon as possible and before 13th January 2025. Applications will be regularly reviewed and may be filled in advance of this date. After this date, applicants are still welcome to apply but positions may have already been filled.

In your personal statement please include information about your motivation and suitability for the ProbAI project. Precise information about an area you wish to work in is not necessary, although an indication about your research interests would be very helpful.

Please ensure that your referees are aware that they will need to upload their supporting statements by the deadline for these positions as decisions will be made soon after this deadline.

Competitive applications are likely to require strong Undergraduate and Masters achievement, typically at first class and distinction levels respectively for UK applicants, and will most likely have completed degrees in Statistics, Mathematics, Data Science, Computer Science, although we are open to consider more unusual routes from motivated applicants.

Informal enquiries are strongly encouraged (to Gareth Roberts, Gareth.o.roberts@warwick.ac.uk, Paul Jenkins, P.Jenkins@warwick.ac.uk, or Matthew Thorpe, matthew.thorpe@warwick.ac.uk). We'd be very pleased to hear from you and would be happy to advise about your application during a brief informal video call if that would be helpful.

Up to three funded-PhD studentships are available in the School of Mathematics at the University of Bristol.

Supervision for doctoral projects will be provided by one of the University of Bristol academics associated with the Prob_AI Hub and supervisors will be allocated based on the PhD project and the student’s research interests. To see a list of potential topics, please see the Prob_AI section of this page: PhD Projects

For more information about the School of Mathematics and how to apply, please visit PhD in Mathematics at the University of Bristol.