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PhD Studentships in Statistics, Data Science and Machine Learning

Newcastle University, United Kingdom

Updated: 1 day ago
Location: Newcastle upon Tyne, ENGLAND
Deadline: 20 Feb 2026

PhD Studentships in Statistics, Data Science and Machine Learning 


Award Summary

100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate).  

Overview

The School of Mathematics, Statistics and Physics  at Newcastle University hosts active research groups within Mathematics, Statistics, Data Science and Machine Learning.

We are offering three funded PhD studentships. Available PhD projects include (detailed project descriptions and supervisor contact details can be found here ):

  • Digital twins with state-of-the-art Gaussian process emulation for decision making under uncertainty (Studentship code MSP106) 
  • Learning to sample: Meta-optimisation of gradient flows using reinforcement learning (Studentship code MSP107) 
  • Dynamic Bayesian modelling of endurance sports (Studentship code MSP108) 
  • Data structures and postprocessing for phylogenetic MCMC (Studentship code MSP109) 
  • Time-changed MCMC for complex sampling (Studentship code MSP110) 
  • Statistical learning for extreme values with application in finance and risk management (Studentship code MSP111) 
  • Bayesian additive regression trees and genetics data (Studentship code MSP112) 

    • Number Of Awards

    3

    Start Date

    1st October 2026

    Award Duration

    3.5 years

    Application Closing Date

    20th February 2026

    Sponsor

    School of Mathematics, Statistics and Physics  – Newcastle University 

    Supervisors

    See Statistics & Data Science at Newcastle  for a list of supervisors. 

    Eligibility Criteria

    You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g., Statistics and Data Science, Mathematics or closely related disciplines). 

    Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. 

    The studentship covers fees at the Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome to apply but will be required to cover the difference between Home and International fees.

    International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme. 

    How To Apply

    You must apply through the University’s Apply to Newcastle Portal  

    Once registered select ‘Create a Postgraduate Application’.  

    Use ‘Course Search’ to identify your programme of study:  

    • Search for the ‘Course Title’ using the programme code: 8080F
    • Research Area: Statistics
    • Select ‘PhD Mathematics (full time)' is the programme of study 

    You will then need to provide the following information in the ‘Further Details’ section:  

    • A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to the application form  
    • The studentship code (see the project titles in the 'Overview section' for the relevant code) in the ‘Studentship/Partnership Reference’ field  
    • When prompted regarding your research proposal - select ‘Write Proposal’. You should then type in the title of the research project from this advert. You do not need to upload a research proposal.  

    In the ‘Supporting Documentation’ section please upload: 

    You must submit one application per studentship, you cannot apply for multiple studentships on one application.

    Contact Details

    For further details about individual projects, please contact the corresponding supervisors using the contact details given in Statistics & Data Science at Newcastle General inquiries should be addressed to Axel Finke axel.finke@newcastle.ac.uk


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