Specialist - Research-Fixed Term
The Department of Forestry at Michigan State University is seeking an Academic Specialist – Research to lead or assist with all phases of research in a group focused on forest ecology in temperate and tropical forests. The Academic Specialist is expected to author or co-author publications, lead collaborative research in new directions, and pursue additional research funding based on existing databases of temperate and tropical tree dynamics. The Academic Specialist also will oversee field experiments and management of databases, analyze and interpret data in a modeling framework (Bayesian and Maximum Likelihood), provide oversight of laboratory analysis of plant and soil samples, assist in funding agency reporting, supervise undergraduate assistants, assist in mentoring/advising graduate students, and serve on graduate student committees. The position is approximately 60% research, 25% data management, and 15% administrative. The position is a 12-month, fixed-term position with annual renewals available depending on satisfactory performance and continued funding availability.Required Degree
Other -Statistics, Modelling, Forestry, EcologyMinimum Requirements
Earned M.S. in Statistics, Modelling, Forestry or Ecology. Expertise in managing large & complex datasets, modeling experience using Bayesian and/or Maximum Likelihood approaches, familiarity with R and/or other programming languages, strong writing skills, good verbal presentation skills, and experience in mentoring and supervising students.Desired Qualifications
Earned PhD in Statistics, Modelling, Forestry or EcologyRequired Application Materials
Upload the following required documents:1) a letter of interest detailing qualifications for the position, 2)curriculum vitae, and 3) a list of three professional references with contact information (institution, email address, phone number). Incomplete applications will not be considered.Special Instructions
Desired start date is Fall 2017, but earlier or later start dates may be possible. Review of applications will begin on July 21, 2017 and continue until the position is filled.
Questions about the position should be directed to Dr. Richard Kobe at email@example.com.