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How to Apply

How to Apply: Please email (1) a letter of application indicating research interests, career goals, and experience; (2) a curriculum vita; (3) a writing sample (examples include, but are not limited to, a manuscript in preparation, a published manuscript, or a chapter from a dissertation); and (4) three names of potential letter writers to:

Email: QMPpostdoc@umich.edu

Institute for Social Research

University of Michigan

426 Thompson St.

Room 2456

Ann Arbor, MI 48106

Review of applications will begin immediately and continue until the position is filled. For more information, contact Dr. Nahum-Shani (e-mail: QMPpostdoc@umich.edu)

Job Summary

Background Information: The Quantitative Methodology Program is a well-established interdisciplinary research program at the Survey Research Center (SRC) of the Institute for Social Research (ISR) at the University of Michigan. QMP faculty develop innovative methods at the intersections of intervention science, social science, and statistical science. QMP also facilitates the training of graduate students and post-doctoral fellows who will contribute in significant ways to the development of statistical methodology for the advancement of empirical social and behavioral sciences research. The successful applicant will have exceptional resources to facilitate his or her research, including access to administrative support staff, any required hardware and software, and travel funds for at least one scientific conference annually. The position is for one year, with excellent possibility of re-funding for at least one additional year subject to annual progress evaluations. Review of applications begins now and will continue until the position is filled. We expect the candidate to start as soon as possible but no later than September 1, 2017.

Duties and Responsibilities: The Quantitative Methodology Program at the Survey Research Center (SRC) of the Institute for Social Research (ISR) at the University of Michigan is seeking a postdoctoral fellow to work with Dr. Nahum-Shani and Dr. Almirall on the development, advancement, and dissemination of approaches for building highly efficacious Adaptive Interventions.  These approaches include the Sequential Multiple Assignment Randomized Trial (SMART) design and related data analytic methods. The selected candidate will collaborate on research with an interdisciplinary team. Duties include conducting data analyses, including data arising from a SMART; participating in preparing conference presentations and scientific articles for publication; interfacing with intervention scientists who are collaborators or potential collaborators in this research; and participating in team teaching of courses and workshops.  There will be opportunities for authorship on publications, including first authorship, and preparing applications for external funding.  

Required Qualifications*

Required Qualifications: Qualified individuals will have a Ph.D. in the social, behavioral or health sciences, strong data management skills, strong methodological skills and interests, an interest in behavioral, bio-behavioral or educational intervention sciences, and strong communication skills. Individuals with a Ph.D. in statistics or biostatistics with a demonstrated interest in the social, behavioral or health sciences, particularly intervention science, will also be considered. Preference will be given to candidates who are interested in developing a methodological research program for building effective behavioral interventions. Excellent written and oral English communication skills are required.  Background in any of the following areas will be considered a plus:  substance use or HIV risk behavior; longitudinal data analysis, including with mixed-effect (or random effect) regression models; and experimental design, particularly factorial experiments. The ideal candidate will have demonstrated productivity in terms of published journal articles and scientific conference presentations

Additional Information

The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
 

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.