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Doctoral research positions at the University of Bath

Doctoral research positions available in mathematical sciences and its applications

SAMBa (the Centre for Doctoral Training in Statistical Applied Mathematics, samba.ac.uk), at the University of Bath, offers a 4-year PhD programme, including initial training to develop breadth of knowledge and research skills.

SAMBa students receive training and carry our research across statistics, mathematical modelling (deterministic and probabilistic) and numerical methods. SAMBa currently has a vibrant cohort of 85 students carrying out research in areas including:

  • inverse problems
  • image processing
  • optimisation
  • Monte Carlo methods
  • spatio-temporal statistical modelling
  • asymptotic analysis
  • stochastic processes on graphs and networks
  • mathematical and statistical physics
  • fluid mechanics
  • mathematical machine learning
  • interacting particle systems
  • dynamical systems


The department has significant expertise in mathematical machine learning and there will be opportunities to receive training in this area.

Topics range from problems which are industrially motivated, to more abstract problems. Application and industrial areas include:

  • healthcare
  • epidemiology
  • biology
  • environment and natural hazards
  • energy and transportation
  • materials imaging and spectroscopy.


  • SAMBa offers fully-funded studentships starting in October each year. Applications for 2024 are now open.

    The department of Mathematical Sciences at Bath provides an excellent research environment (98% of research outputs ranked as 'world-leading' or 'internationally excellent' in REF2021), and the SAMBa cohort offers invaluable peer support.

    The initial phase of SAMBa consists of courses, projects and symposia tailored to the individual student, together with Integrative Think Tanks (ITTs). ITTs are intensive, week-long events where students work in collaboration with academics and industrialists to synthesise relevant mathematical formulations for solving industrial and cross-disciplinary problems.

    Students can either pursue an industry co-designed PhD project developed from an ITT, or a project formulated with an academic supervisor during the training phase. All students will work intensively on PhD research in years 2-4. Graduates from SAMBa will be ready to work in leading academic and industrial roles, collaborating with individuals from different backgrounds, and communicating effectively to both experts and nonexperts.

    Further details about the current programme can be found at
    samba.ac.uk/programme/.

    Details about applying to SAMBa are here:
    https://samba.ac.uk/apply-to-samba/

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