PhD Studentship: Designing Mathematical and Computational Methods for Scientific Discovery

University of Warwick

Funding: 4 years EPSRC funding for UK/EU students

Supervisors: Dr Javier Cuervo (Polymaths), Farooq Khan (Polymaths), and Dr. Maria Liakata (University of Warwick)

Supporting Company: Polymaths

Start Date: October 2017

Project Overview

Polymaths is a transdisciplinary R&D consultancy. The Company seeks to create a new era of scientific discovery through its methodologies and technologies. Currently Polymaths is developing a technology platform to facilitate scientific discoveries made through basic and applied research. This promises to transform the scientific method and accelerate scientific discovery. Drawing upon the mathematical and computational sciences, this project will develop the fundamental science behind the algorithms for the technology platform. The technology will be built upon concepts derived from areas such as network science, machine learning, natural language processing, and multiscale modelling.

The Warwick Department of Computer Science and the EPSRC-MRC Centre for Doctoral Training in Mathematics for Real World Systems (MathSys), together with Polymaths, are offering a unique opportunity to contribute to the research underpinning a new era of scientific discovery conferring a set of highly sought skills at the interface of mathematics, the computer sciences, life sciences and industry.

We are actively seeking an enthusiastic individual to join our team with the following:

  • An undergraduate and/or postgraduate Master’s qualification (MSc) in the life sciences with a strong mathematical component OR mathematical sciences (Mathematics, Statistics, Computer Science, OR, Theoretical Physics).
  • Understanding and/or experience in either, or a combination of: mathematical modelling, complex systems, data science, bioinformatics, systems biology and philosophy of science.
  • A desire to work alongside mathematical sciences researchers and Polymaths scientists and engineers to develop technical solutions.
  • A passion for interdisciplinary science, and the ambition to impact upon a new era of scientific discovery.  

Entry requirements

A 1st or 2:1 undergraduate degree and/or postgraduate Master’s qualification (MSc) in the mathematical sciences e.g. Mathematics, Computer Science, Statistics, Physics, etc.

Studentship funding

The PhD is funded by the National Productivity Investment Fund..

Eligible applicants will be paid a tax-free stipend of £14,553 pa (2017/18), plus shares in Polymaths. UK applicants will be eligible for a full award paying home/EU tuition fees and maintenance. European Union applicants will be eligible for an award paying home/EU tuition fees only, except in exceptional circumstances, or where residency has been established for more than 3 years prior to the start of the course.


  • Make any initial enquiries by contacting the MathSys Director, Magnus Richardson (, in the first instance.
  • Complete the online application form - choose PhD in Mathematics of Systems (G1PG) and enter Dr. Magnus Richardson in the Finance section.
  • Upload a transcript from your current or previous study, a CV and a short cover letter explaining why you are interested in this project. Within 24 hours of submitting your online application you will receive a link to upload additional supporting documents.
  • When you submit your application, an email will automatically be sent to your referees requesting a reference. It will contain a secure link to upload a reference.

Deadline: Please submit your application by the 18 August 2017 for an interview shortly afterwards.

For more information please go to:

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