Professor Marcia Castro is seeking a highly-motivated and capable postdoctoral researcher with an interest in inter-disciplinary quantitative research. The successful candidate will work on malaria-related research, employing a mixture of theory & mathematical/statistical/spatial analysis of large datasets. The work will focus on understanding the dynamics of malaria transmission and proposing stratification approaches considering climate, environmental change, and a wide range of socioeconomic, demographic, ecological, and policy factors. The selected candidate will have opportunities to be involved also in additional projects on arboviruses and other infectious diseases. Results of the work will inform control strategies.
Applicants should have a PhD/doctoral degree in epidemiology, quantitative ecology, population biology, applied mathematics, statistics, demography, or an equivalent area.
Candidates should have the following:

1. Record of scholarly publication in peer reviewed journals
2. Ability to work both independently and as part of a collaborative team
3. Strong organizational, written, and oral communication skills
4. Strong quantitative and analytical skills, including infectious disease modeling
5. Programming in R (preferable) and/or Stata
   Additional Qualifications

Additional experience highly desirable:

1. Handling large datasets
2. Agent base modelling
3. Spatial statistics
4. Understanding of GIS, and basic knowledge of the most common tools (such as ArcGis, qGis, or Google Earth Engine)

Let us know if you also have:

1. Basic knowledge of Portuguese
2. Working experience in Brazil or another malaria endemic country