Postdoctoral Fellow - Forest Vulnerability and Resilience

School for Environment and Sustainability University of Michigan, Ann Arbor

We are seeking one postdoctoral researcher to join our interdisciplinary working group charged with developing synthesis and forecasting work of forests vulnerability and resilience to global change impacts. Within the University of Michigan, we have developed a multi-disciplinary group (see list of PIs below) modeled on those organized by NCEAS (National Center for Ecological Analysis and Synthesis) and SESYNC (National Socio- Environmental Synthesis Center). The postdoctoral researcher together with other members of the working group will be in charge of leading brainstorming sessions aimed at identifying synthesis work and of coordinating, and leading, analyses across subgroups.

The main objective of this working group is to carry out synthesis of state-of-the-science information (i) to develop cross-scale, cross-system, modeling frameworks assessing forest vulnerability to the combined effects of global change stressors. Outputs will identify areas of concern providing critical information for decision-making. And (ii) to develop forecasting models to generate predictions of forest resilience. These will include actual system’s resilience, level of resilience needed to maintain current performance, and the possibility of transformative resilience. All forecasts will be geared at guiding management and policy prescriptions. We will base our analyses on already available data, e.g., remote sensing data, Forest Inventory Analysis data, NEON, landcover, demographic. We will also leverage models and data from the work of the PIs. Many of us have already gathered, and curated, large data sets pertinent to the work described above. The postdoc will interact with a multidisciplinary team of researchers with expertise in forest ecosystems. This team includes experts from different University units on a wide set of disciplines related to forest ecosystems. Participant PIs are:

The candidate for this position should have a PhD in climatology, ecology, geography, natural resources, environmental science or a similar field. The candidate should have:

  • Background in forest systems from an ecological, physical, and/or social science disciplines
  • Experience with data mining, data analysis and systems modeling

Start date: January 1, 2020 (flexible)
Term: 1 years 1.00 FTE
Location: Ann Arbor, Michigan
Salary: $60,000 (benefits eligible)
Institution: School for Environment and Sustainability (SEAS), University of Michigan

To apply, please submit the following in a single PDF file to Dr. Inés Ibáñez at iibanez@umich.edu:

  • Cover letter describing your relevant experience and scholarly interests
  • Curriculum vitae
  • Name of three references

Applications will be considered until the position is filled.
The University of Michigan is an equal opportunity employer.