The Department of Statistics at the University of Michigan has an open postdoctoral associate position under a  NSF Research and Training Grant (RTG), "Understanding dynamic big data with complex structure”.   These positions are restricted to US citizens, nationals, and permanent residents.   The postdoctoral associate must hold a PhD in statistics or a related discipline awarded after January 1, 2016.  Exceptions to this rule, occasioned for example by a career interruption, may be requested in your cover letter.  

The postdoctoral associate is expected to choose at least one mentor among the group of faculty affiliated with the RTG, currently (in alphabetical order) Mouli Banerjee, Johann Gagnon-Bartsch, Ben Hansen, Xuming He, Edward Ionides, Liza Levina, Stilian Stoev, Ambuj Tewari, and Ji Zhu.   The postdoc will interact closely with​ ​both faculty and graduate students in their chosen research group, but will also have a fair amount of freedom to develop their own innovative research program.  The position includes modest teaching duties in the Statistics department, teaching one course per semester on average, with an opportunity to teach an advanced PhD course.    This will allow the postdoc to build a strong academic profile in teaching as well as in research. 

The University of Michigan is a leading research university known internationally for its vibrant community of scientists and scholars.   The Michigan Institute for Data Science (MIDAS) provides additional opportunities for interdisciplinary collaborations.  The​ postdoctoral associates will be closely mentored and have ample opportunities for professional development, including funding for conference travel.  Ann Arbor is a great place to live and offers a culturally​ ​and intellectually rich experience to its residents, with excellent restaurants, shops, museums, parks, and live events.

The expected start date is September ​1, ​2018​.  ​ A typical RTG postdoctoral appointment is for three years (Sep 2018 - May 2021), though it can be shortened if desired.  Applications will be evaluated on a rolling basis until the position is filled;  please apply as soon as possible. 

To submit an application, please ​visit  Include a ​cover letter indicating which RTG faculty member(s) you are interested in working with and the ​names of ​at least three ​potential letter writers​, ​your CV, ​and research and teaching statements.