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Big data, data mining and optimisation algorithms: the interface between applied mathematics, statistics and data science (bioinformatics or operational research)

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  • Full or part time
    Dr E Correa
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

Applications are invited for a PhD in Computer Science, to start at a mutually agreed date or as soon as possible. We are looking for outstanding candidates, who are seeking a friendly, supportive and collegial environment in which to develop world-class research. Applicants are invited to send their own PhD research proposal so that a specific research topic can be agreed with the candidate. However, preference will be given to proposals specifically aimed at the interface between applied mathematics, statistics and/or data science. In particular, there is special interest in projects researching big data (data mining) or the use of optimisation algorithms and statistical tools applied to healthcare, biomedical research (bioinformatics) or solving a particular industrial problem (data analytics/operational research) - and applicants with an appetite for interdisciplinary research will be especially welcome.


Candidates should have a 1st or upper 2nd class honours degree in an area relevant to the subject. In all cases a Master’s degree or equivalent qualification or other evidence of research skills and experience is preferred but not essential.


Application where funding can be secured from other sources will be accepted at any time. For further information visit:

Further information and applying

For further information, please contact Dr Elon Correa at [email protected]

For more information on research within the School of Computing Science & Engineering and to make an application please visit:

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