Postdoc - Infectious disease modeling and Bayesian inference at Columbia Unvi. in New York City. Please apply!
Postdoctoral Fellow in Mathematical Modeling of Infectious Disease
The Department of Epidemiology at Columbia University Mailman School of Public Health in New York City invites applications for a Postdoctoral Research Scientist with interest in infectious disease modeling and statistical inference. This position is funded by a grant from the NIH to study measles persistence and population dynamics. The Postdoctoral Research Scientist will join an experienced modeling team to develop cutting-edge model-Bayesian inference systems to study the spatial, temporal, and demographic dynamics of measles epidemics in recent decades and test different intervention/elimination strategies.
This is a full-time position with excellent benefits. Funding is available for up to 3 years. Applications will be evaluated continuously until the position is filled.
About Epidemiology at Columbia: The EPI Department at Columbia is housed within the Mailman School of Public Health, one of the world's leading schools of public health. The Department has nearly a century of history and a dynamic faculty with core strengths in infectious disease epidemiology, social epidemiology, psychiatric and neuro-epidemiology, chronic disease epidemiology, innovative epidemiologic methods, lifecourse epidemiology, and other public health and biomedical areas. We are committed to producing world-class science with real-world impact and training the next generation of leaders in research and practice. For more information, visit https://www.mailman.columbia.edu/
• PhD, ScD, or equivalent degree in Applied Mathematics, Applied Statistics, Computational Biology, Infectious Disease Epidemiology, Engineering or related analytical disciplines;
• Proficiency in at least one programing language (e.g., R, Python, Matlab);
• Excellent communication skills (both oral and writing) and analytical skills.
• Strong interest in infectious disease dynamics/epidemiology;
• Experience in mathematical modeling of high dimensional systems;
• Strong interdisciplinary learning skills;
• Ability to conduct self-directed research from hypothesis generating to testing;
• Experience with spatial network modeling is a plus.
Required Applicant Documents: CV, cover letter, 2 reference letters, 1 writing sample/publication, and 1-page research statement.
To inquire, please email Dr. Wan Yang (wy2202 at columbia.edu). For more information on the research project, visit http://blogs.cuit.columbia.edu/wy2202/measles/
To apply, please submit the required documents at https://pa334.peopleadmin.com/postings/3640
- Columbia University
- New York City
- Closing date
- December 19th, 2019
- Posted on
- July 19th, 2019 02:53
- Last updated
- September 11th, 2019 01:41