Dr. Pamela Morris is seeking a Postdoctoral Associate to join her research team to begin Summer/Fall 2022. Dr. Morris’ current work spans three main projects: 1) the study of an integrated primary/secondary parenting intervention within the population-scalable pediatric care platform called Smart Beginnings (see here); 2) large-scale randomized experiments of enhancements to preschool, work with NYC’s Department of Education to strengthen the research architecture in the context of their historic Universal Pre-K expansion (see here) and 3) Morris’ newest research addresses adolescent suicide from a developmentally-informed, population-health perspective (see here). For a description of Dr. Morris’ portfolio of research, please visit her NYU Faculty Bio page here. The position will likely span Smart Beginnings and Pre-k for all.

The Postdoctoral Associate’s primary responsibilities include study coordination and project management, data management and documentation, data analysis and write-up of findings in the form of journal articles and book chapters as well as the management of data collection efforts and proposal development. The position will allow for a dynamic experience that offers both breadth and depth in the realm of early childhood research and policy work and offers several excellent training opportunities, including collaboration with senior and junior members of the research team and cross-institutional networking. There is a rich array of seminars in related areas of study and workshops in research methods and statistics available through the Institute of Human Development and Social Change and through NYU more broadly. Competitive postdoctoral salary and attractive fringe benefits; support for local travel costs and conference travel related to study activities. Multiple year commitment strongly preferred contingent on the availability of external funding.

Qualifications

Candidates should have completed a PhD in prevention science, developmental, clinical, educational psychology, or related social science field by Spring/Summer 2022. Experience in data and project management, grants development and manuscript preparation is critical. Relevant analytic skills are required, including experience with sophisticated analytic methods such as causal inference, quasi-experimental techniques, longitudinal growth curve modelling, and structural equation modeling (with experience programming in SAS, Stata and Mplus preferred). Ability to work well independently and in a multidisciplinary team; good organization skills and attention to detail; and excellent oral and written communication skills necessary. Track record of academic publications and presentations for scholarly and policy audiences a plus.

This position is based in New York City. Following NYU Steinhardt’s current guidance, staff are expected to work on site multiple days per week, with the remainder remote. For current information on NYU’s COVID-19 policies and requirements see here.

Application Instructions

Apply here via interfolio. Please submit applications prior to December 1, 2021 for best consideration

If you have any questions, please contact Helena Wippick ().