We are looking for a postdoc on infectious disease modeling to join our team immediately. Our team (PIs: Wan Yang and Jeffrey Shaman) is based within Columbia University's Mailman School of Public Health in New York City. The modeling work will focus on developing cutting-edge model Bayesian inference systems for two main projects: 1) Study COVID-19 transmission dynamics, generate projections, and test pandemic response strategies; and 2) Study the spatial, temporal, and demographic dynamics of measles epidemics in recent decades and test different intervention/elimination strategies. For more information on the research projects, visit http://blogs.cuit.columbia.edu/wy2202/

Candidates must 1) have a PhD or equivalent degree in Applied Mathematics/Statistics, Computational Biology, Engineering or related analytical disciplines; 2) Proficient in at least one programing language (e.g., R, Python, Matlab); 3) Have excellent communication skills (both oral and writing) and analytical skills. Other welcome qualities include: 4) Strong interest in infectious disease dynamics/epidemiology; 5) Experience in mathematical modeling of high dimensional systems (e.g. spatial networks); 6) Experience with individual-based modeling; 7) Ability to conduct self-directed research.

This is a full-time position with excellent benefits with renewal up to 3 years. Position is open immediately and applications will be evaluated continuously until filled.

To apply/inquire, please email Dr. Wan Yang (wy2202@cumc.columbia.edu): CV, cover letter, list of reference (2 or more referees), 1 writing sample/publication, and 1-page research statement.