Dr. Andrew Finley in the Department of Forestry at Michigan State University (http://blue.for.msu.edu) seeks two highly motivated postdoctoral researchers to join his lab group. Successful candidates will be expected to develop/implement novel Bayesian statistical models for analysis of large spatio-temporal datasets, write manuscripts, and proposals. Motivating data will come from NSF and USFS/NASA funded projects that aim to assimilate large data sets collected from a variety of remotely sensed platforms and monitoring networks. The NSF funded project will focus on development of modeling frameworks for National Ecological Observatory Network (NEON) data (www.neoninc.org) and similar monitoring networks.
These are full-time, 12-month fixed-term positions, with reappointment conditional on satisfactory performance and available funding. The ideal start date is January 2018. Flexibility in start date may be possible; indicate start date preference in cover letter. The ideal start date is January 2018. Flexibility in start date may be possible; indicate start date preference in cover letter. Required qualifications: The successful candidate will have earned a PhD in statistics, biostatistics, or related quantitative field by the position start date. Criteria for selection include demonstrated research ability in Bayesian statistical methodology development, spatio-temporal statistics, and statistical computing. Location: The position will be based at Michigan State University in East Lansing, MI. To Apply: For consideration, submit your application online at http://careers.msu.edu to job number 483231. Upload the following required documents: 1) a letter of interest detailing qualifications for the position, 2) curriculum vitae, 3) a list of three professional references with contact information (institution, mail address, phone number). Incomplete applications will not be considered.
