We are seeking a Geospatial Disease Modeller to work as part of a collaboration between the Big Data Institute and the University of Melbourne. The Trypanosoma cruzi pathogen is transmitted to humans by direct or indirect contact with kissing bug vectors and causes Chagas disease, the leading cause of heart disease in Latin America.
This new role in the group will model geospatial variation in vector-mediated T. cruzi infection risk. The post-holder will provide geospatial modelling skills and analyse variation in risk of infection through contact with vectors within the endemic zone.
You will have a PhD or equivalent work experience in a quantitative science and a good publication record. There is flexibility on which hours are worked (full or part time) but the post-holder must be able to participate in regular early morning or late evening teleconferences with Australia.
This full-time position is fixed term for seven months. Part time hours will be considered
Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
The closing date for this post will be 12.00 noon on Thursday 19 July 2018
Contact: HR Officer (01865 612922)