Research Associate

About the role
The Department of Population Health Sciences is looking to appoint a Research Associate to develop statistical methods for disease mapping. In particular, this role will consist of further developing disaggregation regression models.
Disaggregation regression is a statistical method that is useful when you have aggregated disease case data (cases counted over a county for example) but wish to make higher resolution predictions of disease risk to guide interventions such as vaccine deployment or vector control. Current implementations of the model are tailored towards simple linear effects, and in order to make better predictions we wish to develop these methods further to use nonlinear effects. In order to do this, we will be incorporating ideas from MaxEnt species distribution models into disaggregation regression.
These models have many applications, but the focus in this project is on zoonotic and vector-borne diseases with a particular case study of lassa fever. The work will be conducted with guidance from Nigeria CDC in order to ensure that we are building a tool that is useful for the analysts both at Nigeria CDC and at other governmental ministries and NGOs in countries with high burdens of zoonotic or vector-borne diseases.
You will contribute to developing new methods, use simulation analyses to test their effectiveness and implement the methods in R packages. You will then write publish papers presenting results.
About you
We are looking for an individual who has experience using and assessing statistical methods as well as a strong familiarity with R. Alongside this, you will have a PhD (or equivalent) in epidemiology, statistics, computer science or a related field.
Additional information

Informal enquiries are welcome and should be made to Dr Tim Lucas at [email protected].
 
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