Postdoc position in Applied Statistics and Bayesian Modeling available immediately

A full-time postdoctoral position is available beginning immediately in the research group of Professor Tian Zheng working on reproducible modeling of social and behaviorial data using Bayesian computing, in close cooperation with our collaborators in social sciences. 

Requirements: The work is highly interdisciplinary, and applicants must have strong statistical and computational skills. Preferred educational background is a PhD in statistics, computer science, computational social science or a related field. Expertise in statistical computing is required. Experience with R/Stan, Python, and/or data visulization is preferred but not necessary. 

Environment: The research group is at Columbia University, based in the Statistics department, in the great city of New York. There will also be the opportunity to interact with our collaborators on other research projects involving psychology, genetics, and neural science.

Appointment: The initial appointment will be for one year, and is renewable. Salaries will be set based on experience and skills.

Applicants should send email to tzheng@stat.columbia.edu providing:

• a brief description of past research experience
• a brief description of future research interests and goals
• a resume of educational and research experience, including publications
• three letters of reference