The Pathogen Dynamics Group, located within the Department of Genetics at the University of Cambridge is looking for one or more full-time Research Assistants or Research Associates (where a PhD is currently held) to work on projects relating to the emergence, spread and control of infectious diseases. The Research Assistants may have the opportunity to study for a PhD as part of their activities.

The Pathogen Dynamics Group at the University of Cambridge consists of 10-15 researchers at different stages of their career using mathematical and computational research to help our understanding of how pathogens spread in populations, assess control efforts and support policy making. We work closely with an established network of collaborators across laboratories, field-based epidemiologists, hospitals and public health agencies. More details on the group can be found on our website (www.pdg.gen.cam.ac.uk).

The position will be based in Cambridge and will be supervised by Professor Henrik Salje. The specific project will depend on the applicant's expertise and interests but potential projects include:

Working with partners in 10 African countries and at Imperial College London on the testing of blood samples to understand the burden from different arboviruses across the continent. This Wellcome Trust funded project involves the development of machine learning and statistical models to interpret high dimensional multiplex serology data.

The development of models that explore the most appropriate intervention for arboviruses around the world, especially comparing Wolbachia-based control and vaccines for dengue virus. This project requires the development of spatially explicit dynamic transmission models.

The analysis of longitudinal datasets from a dengue virus birth cohort in Thailand. This NIH funded project would be in close collaboration with partners in Thailand (AFRIMS) and the US (Dr. Kathryn Anderson at SUNY) and would require the development of models that reconstruct titers over time, and identify risk factors for infection and disease.

The analysis of neutralisation and non-neutralisation responses to dengue virus in longitudinal samples to identify correlates of protection and risk for dengue virus, including through the use of antigenic cartographic methods.

Applicants should have strong quantitative skills. In particular, the projects will require the development of computationally intensive models and therefore applicants should have experience in coding and a good understanding of probability. We are also seeking individuals with a strong interest in public health.

Appointment to Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.