The Survey Research Center (SRC) within the Institute for Social Research at the University of Michigan has an open rank (tenured or tenure-track) position with a focus on statistical methodology, data science, behavioral theory or some combination relevant to research on adaptive interventions (also known as dynamic treatment regimens) or just-in-time adaptive interventions. Adaptive interventions provide a guide for customizing intervention (e.g., treatment, preventive or educational strategies) in a way that is tailored to the individual or organization. Just-in-time adaptive interventions often use mobile technologies to facilitate the delivery of individually-tailored interventions in near real-time. In health applications, this is an area of research that belongs to the domain of “precision medicine”.
The scholar/scientist would join SRC’s Quantitative Methodology Program (QMP), a multidisciplinary team with expertise in statistics, psychology, information science, and computer science and would be part of the Data Science for Dynamic Intervention Decision-making Lab (d3lab) within QMP. d3lab (see http://d3lab-isr.com/) is dedicated to improving health and education outcomes by developing, demystifying and disseminating data science tools for making better sequential (dynamic) intervention decisions. A key focus of the lab is the advancement and development of the science of adaptive interventions using novel randomized trial designs.
We seek scholars with a strong statistical and methodological background who are interested in (i) the development of methods for adaptive interventions or just-in-time adaptive interventions, and (ii) the application of these methods in bio-behavioral health. This includes those with methodological expertise and interest in one or more of the following areas:
- Randomized trial methodology for optimizing or evaluating adaptive interventions, such as with sequential multiple-assignment randomized trials (SMART);
- Randomized trial methodology for optimizing just-in-time adaptive interventions, such as with micro-randomized trials (MRT);
- Methods for analyzing intensive longitudinal data arising from mobile health, such as feature construction methodology in high-dimensional settings, time-series analysis with latent variables, time-varying effect models, functional hierarchical linear modeling, and dynamic mediation analysis;
- Methods for the design and analysis of N-of-1 studies or single case designs; or
- Causal inference methodology for time-varying treatments/exposures.
SRC is a unique, world-renowned social and behavioral science research center that conducts investigator-initiated research on theoretical and applied problems of both social and scientific importance. Please see our website: http://www.isr.umich.edu/src/. A joint appointment with another department, institute, or school may be possible if desired.
The successful candidate is expected to launch or establish an independent research program within d3lab’s collaborative and supportive environment. Salary is highly competitive. Applicants must have a doctoral degree.
Applicants should submit a letter describing their scholarly and research activities (including funded research) and their interests in d3lab. Please include a CV, names of (but not letters from) three references, and one or two recent publications.
Please send applications, nominations, and inquiries electronically to email@example.com. Reference position #160375. Review of applications will begin immediately and will continue until the position is filled. The University of Michigan is an Affirmative Action/Equal Opportunity Employer and is responsive to the needs of dual career couples. Women and minority candidates are encouraged to apply.
The Institute for Social Research (ISR) 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.