Post-doctoral fellowship in quantitative disease ecology
The Epicenter for Disease Dynamics at the One Health Institute in the School of Veterinary Medicine at UC Davis is seeking a post-doctoral researcher interested in quantitative disease ecology focusing on modeling the effects of climate change on diseases in animal populations. The fellow will focus on activities related to the Wellcome Trust-funded project "Climate-driven models to predict future risk of arenavirus spillover". The primary responsibilities of the fellow will be related to the development of analytical data pipelines, and disease distribution models. This is a 2-year post-doctoral position expected to begin in the early part of 2023 based at UC Davis. The fellow will primarily work with Dr. Pranav Pandit and other Co-PIs of the project, including Prof. Christine Kreuder Johnson, Dr. Brian Bird, and Dr. Marcela Uhart.
The study aims to develop climate-sensitive models for individual arenaviruses by closely collaborating with regional public health experts to create a pipeline of validated data that feeds into predictive models. Models will be based on reservoir rodent distribution, human cases, and bioclimatic factors that influence the ecology of arenaviruses and will be also used to predict future risk based on specific emission scenarios and projected local climate data. Furthermore, models will be presented on an online platform for the public and policy analysts to explore with clear validation around model uncertainties. The tool will also become a resource for researchers as a centralized database and knowledge center for arenaviruses in addition to a home for predictive scenario-based modeling activities.
The postdoctoral fellow will lead the development of predictive models for individual zoonotic arenaviruses. The fellow will work with regional experts in South America and Africa to create a data validation process that will be fed into models that are presented on an online platform. The fellow will contribute to regular summaries and reports for the project and will disseminate the work through publications and scientific meetings.
PhD. Background in infectious disease epidemiology or disease ecology and strong quantitative skills in biostatistics, epidemiology, and mathematical modeling with knowledge of animal health and wildlife disease. We expect the fellow to have strong programming skills in either R or Python (or a willingness to master Python programming). Experience with GitHub or other collaborative version control environments, development of data dashboards, and expertise in machine learning methods are desirable. In addition, candidates with the ability or experience in working in a multidisciplinary and culturally diverse environment will be preferred. The candidate will also have to work closely with Spanish-speaking collaborators.
Please sent a cover letter and CV by the 15th of December, 2022 to Pranav Pandit (pspandit AT ucdavis DOT edu). Also, include share GitHub profile or other coding portfolios (code shared along with peer-reviewed papers, etc) if available, to highlight quantitative research you have performed.
Pranav Pandit, BVSc & AH, MPVM, PhD
EpiCenter for Disease Dynamics | One Health Institute