Postdoctoral Research Fellow

University of Exeter - College of Life and Environmental Sciences - Biosciences

Mathematical modelling of microbial ecology and evolution

This new full- time ERC funded post is available from 1st October 2017 on a fixed term basis of up to 3 years.

The University of Exeter is a Russell Group university that combines world-class research with very high levels of student satisfaction. Exeter has over 21,000 students from more than 130 different countries and is in the top 1% of universities in the world with 98% of its research rated as being of international quality. Our research focuses on some of the most fundamental issues facing humankind today.

The College wishes to recruit a Postdoctoral Research Fellow to participate in an exciting interdisciplinary project in the group of Professor Ivana Gudelj. The successful applicant will contribute towards research related to the project entitled “The Evolution of Competition and Cooperation: how polymorphisms in microbial populations optimise virulence and mediate drug resistance”.

This project will employ a combination of experimental microbial ecology/evolution (post advertised separately) and mathematical modelling to address the following challenge: Antibiotics can perturb the composition from susceptible to resistant species but how is this shift mediated by resource utilisation strategies? Our research will consider laboratory communities of devastating human fungal pathogens that kill more people than tuberculosis, malaria or breast cancer, focusing on Candida species. We will quantify how microbial community composition is determined by the metabolism, genetics and physiology of individual players, establishing principles by which microbial composition affects antimicrobial resistance.

About you

The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.

Applicants will posses a PhD in a quantitative discipline (mathematics, physics, engineering or computer science) and ideally be familiar with ordinary differential equations, their use in modelling, analysis (Dynamical Systems techniques) and simulation. An ability to programme in Matlab, C++, Python or other high-level programming language is essential. The successful candidate should be able to communicate effectively with individuals from a wide range of disciplines and be able to work collaboratively, supervise the work of others and act as team leader as required.

What we can offer you

  • Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
  • Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
  • An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
  • Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
  • A beautiful campus set in the heart of stunning Devon.

Applications should be made via our website. For more information and to apply online please go to Please quote reference number P57894 in any correspondence.

For further information please contact Professor Ivana Gudelj, e-mail

We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.

The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:


South West England