You will come with a high degree of motivation and self-sufficiency and will be expected to work independent and interdisciplinary
You will work closely international collaborators, particularly the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kilifi, Kenia and will be based in Kilifi for several month during their research
You will be researching the optimisation of vaccination programmes in low- and middle-income countries, and Kenya in particular, through the use of serological data. This may include the identification of immunity gaps for vaccine-preventable diseases (e.g., measles and rubella), modelling the risk of outbreaks due to arboviruses (e.g., dengue, Rift Valley Fever and chikungunya), or evidence for ongoing infection acquired immunity for vaccines not included in the infant immunization program as well as in age groups currently not reached by vaccination
You will work closely with KWTRP and will collaborate on the analysis of seroepidemiological data. They will be part of an effort to build capacity in mathematical modelling for infectious diseases in Africa
The position requires a substantial background in programming and, to a slightly lesser degree, infectious disease epidemiology
You will be expected to regularly attend scientific conferences and collaborative visits, including spending a substantial amount of time on site in Kilifi, Kenya

To be considered, applications will need to be in English and in the cover letter will need to include a point by point indication to how the candidate’s expertise matches the essential and desirable criteria listed below.

Required:
A master’s degree in mathematics, statistics, computer science, epidemiology, or an equivalent degree or experience in a subject with a strong analytical component
Evidence of substantial experience with programming in R, Python or similar
Evidence of understanding of the basic concepts of mathematical modelling for infectious diseases (beyond regression models) as well as of epidemiological measures
Interest in working in inter-disciplinary teams
Excellent English communication skills
Lived experience of studying and/or working in East Africa, ideally Kenya

The successful candidate will likely also have:
Some experience with Bayesian statistics
Some experience in infectious disease research including serological data