This is an exciting opportunity for a highly motivated researcher to join a new group in the department of Biology, working with Dr. Anna Borlase on neglected tropical diseases (NTDs). You will develop and apply statistical frameworks and mathematical transmission models to enable long and short-term morbidity outcomes to be incorporated into dynamic transmission models, focusing initially on schistosomiasis, but with scope to expand and apply methodologies to other NTDs. Individual-level clinical data together with surveillance data will be utilised and accessed via a network of collaborators. For those interested, opportunities will be available for overseas travel to visit collaborators in schistosomiasis-endemic countries.

 

You must hold or be near to completion of a relevant PhD/DPhil, for example in infectious disease modelling, epidemiology, statistical modelling or a related discipline. This post would be suitable for an individual with a quantitative background and a strong interest in applied infectious disease research, or equally a candidate with a biological/clinical background and a strong interest in modelling/quantitative methods. With excellent communication skills, you will be able to write for publication, present research proposals and results, engage with a wide range of stakeholders, and represent the group at meetings and conferences. You will have demonstrated the ability to manage your own academic research and associated activities.

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.

This post is full-time (part-time considered) and fixed term for 2 years in the first instance, with potential to extend.

 

The closing date for applications is 12.00 noon on Friday 31st January 2025, with interviews likely to be held mid-late February. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online application.