We are looking for world-class mathematic modelling in the area of infectious disease. The post-holder will be responsible for their own research programme, carry out appropriate administrative tasks and deliver excellence in teaching at undergraduate and postgraduate level. The post will be integrated within the NIHR funded Health Protection Research Unit in Behavioural Science and Evaluation (NIHR HPRU BSE); see http://www.hprubse.nihr.ac.uk/. The new post arises from our recent award of a substantial programme grant from NIHR, in partnership with Public Health England (PHE), and in collaboration with MRC Biostatistics Research Unit at the University of Cambridge and University of the West of England.

What will you be doing?
You will be responsible for undertaking mathematical modelling, data analysis and epidemiological analyses for a range of projects focussed on prevention of infectious diseases in the UK and Globally including low- and middle-income settings that are affiliated to the HPRU and co-produced with Public Health England (PHE). As part of these projects, you will be involved in undertaking modelling, data and epidemiological analyses and possibly economic evaluations, and will collaborate with other modellers, health economists and epidemiologists in this team. The post-holder will play a role in supervising other modellers and will be supported and expected to develop their own research projects and grant or fellowship applications.

The post is full-time, though part-time will be considered, and available for 4 years in the first instance,

You should apply if

• You have a strong mathematical background with a PhD degree in a relevant quantitative subject.
• You have post-doctoral experience in infectious disease mathematical modelling and familiarity also with statistical analysis and economic evaluation.
• You have experience of leading modelling projects, developing and programming dynamical models and the ability to design and analyse large scale modelling experiments involving data and uncertainty.
• You are skilled in reviewing the non-modelling literature and undertaking data analyses (using R or STATA or similar packages).
• You have strong IT and communication skills and work effectively within a team environment that includes non-mathematicians.