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/

Eligibility:
• 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.

Preferred Qualifications:
• 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