The d3lab at the Institute for Social Research (ISR) at the University of Michigan is seeking a postdoctoral fellow to work on the development, advancement, and dissemination of statistical and machine learning approaches for building highly efficacious Adaptive Interventions. This includes developing methods for the design or analysis of Sequential Multiple Assignment Randomized Trial (SMART) design, Micro-Randomized Trials (MRTs), and related trial designs. Of particular interest is a candidate with experience or an interest in developing methods for these trial designs using intensively collected longitudinal data. The selected candidate will collaborate on research with an interdisciplinary team. Duties include developing new methods; conducting data analyses, including data arising from a SMART or MRTs; participating in preparing conference presentations and scientific articles for publication; interfacing with behavioral scientists who are collaborators or potential collaborators in this research; and participating in team teaching of courses and workshops. A particular emphasis of d3lab’s scholarship is on the dissemination of methods, to ensure they are placed directly into the hands of data analysts who will use them.