We invite applications for a 3.5-year ERC-funded PhD studentship, start date September 2018.
The studentship is offered as part of an ERC funded project using novel modelling approaches to examine on the natural history of TB. While tuberculosis is the biggest cause of death from a single infectious agent globally, our understanding of its natural history remains limited. The wider project will use mathematical tools to explore the consequences of novel insights on the natural history of TB and implement these tools to address urgent scientific questions in TB research. Work will include developing appropriate mathematical modelling approaches, considering both deterministic compartmental and stochastic individual based models, as well as combining historical and new data to inform model structures and parameters.
A significant part of the programme is devoted to model development, including the testing and parameterisation of different modelling approaches, in order to address complex research questions.
To complement the programme of research being undertaken, we seek a full-time PhD student in mathematical modelling of infectious diseases. The studentship provides an excellent development opportunity for individuals with strong mathematical skills who are interested in applying these skills to infectious disease modelling, and individuals with epidemiological training who want to develop mathematical modelling skills.
London School of Hygiene and Tropical Medicine is an internationally renowned postgraduate university with state-of-the-art facilities. The School hosts epidemiologists and statisticians across numerous clinical and methodological disciplines, giving students access to a wealth of knowledge and advice.
TB Modelling Group (http://tbmodelling.lshtm.ac.uk), The TB Modelling Group at LSHTM is a multidisciplinary group of mathematical modellers and epidemiologists with varying backgrounds in physics, mathematics, biomedical sciences and biology. The focus of our research is using mathematical and statistical models to better understand the natural history and epidemiology of TB and to improve the contribution of TB modelling to policy decisions and implementation.
In addition, the PhD is nested within the LSHTM TB Centre (http://tb.lshtm.ac.uk) and Centre for Mathematical Modelling of Infectious Diseases (http://cmmid.lshtm.ac.uk), two world class centres with a wide range of multidisciplinary expertise.
Funding for this 3.5-year award covers course fees for UK, EU and international candidates; and a student stipend at the rate in line with the Research Councils UK National Minimum Doctoral Stipend (currently GBP 14,553.00 + GBP 2000.00 London allowance per year).
Applicants must hold, or expect to obtain, a 1st or 2.1 honours undergraduate degree and preferably an MSc in epidemiology, mathematics, physics or equivalent awarded with good grades. Experience with computer programming languages (e.g. R, C++, Python) will be highly advantageous.
Applicants with a combination of relevant qualifications and experience which demonstrates equivalent ability and attainment will also be considered.
The award is available to all candidates, provided they meet the requirements for the PhD.
How to Apply
Applicants are encouraged to contact Dr Rein Houben (PI on the ERC parent grant) for an informal discussion prior to submitting a formal application.
To apply, the following documents must be submitted by email to EPH.FRDD@lshtm.ac.uk:
- Curriculum vitae (2 pages) including details of your academic achievements to date, and the names of two referees, one of whom should be able to comment on your academic ability.
- Copy transcripts of your undergraduate and postgraduate qualifications.
- A covering letter of up to 500 words stating why you are interested in undertaking a PhD in this subject area, and how this relates to your previous experience.
- An initial eligibility form.
Please state clearly in the heading and text of your email that you are applying for the “ERC Doctoral Studentship in Mathematical Modelling of Tuberculosis”.
ONLY APPLICATIONS IN THE CORRECT FORMAT WILL BE CONSIDERED.
The deadline for applications is 10.00am BST on 23 April 2018.