Postdoctoral Fellowship opportunities
Call for Postdoctoral Research Fellow in Global Change Biology
* Application review will begin on April 22, 2024 *
Application Requirements:
- Cover letter detailing research interests and experience relevant to the project.
- Current Curriculum Vitae (CV) highlighting relevant research experience and publications.
- Three reference letters (to be submitted confidentially by the referees via this form).
- Proof of Ph.D. completion or expected completion date.
- Up to three publications or manuscripts in preparation.
see links below for application forms
Job Summary:
The University of Michigan Institute for Global Change Biology (UM-IGCB) in collaboration with the Utah State University (USU) is seeking a Postdoctoral Research Fellow to lead an exciting project assessing the causes and consequences of lagging ecological community responses to climate change. The successful candidate will be co-advised by Drs. Kai Zhu and Peter Reich (UM-IGCB) and interact closely with Dr. Peter Adler (USU). The candidate will analyze and synthesize global change experiments and observations, with a focus on the plant communities and ecosystem acclimation to climate change. This position offers a unique opportunity to work with a cutting-edge interdisciplinary team and contribute to improving projections of climate change impacts, adaptation, and vulnerability.
This postdoctoral position will be available for an initial duration of one year with the possibility of extension for a subsequent year contingent upon satisfactory academic performance and fulfillment of job responsibilities. The selected candidate will receive a competitive salary complemented by a comprehensive benefits package. This full-time, on-site position will allow for direct collaboration and engagement with the vibrant research community at the University of Michigan campus in the city of Ann Arbor, Michigan.
Research Responsibilities or Areas:
The postdoctoral researcher will:
- Analyze data from existing global change experiments utilizing a functional ecology approach.
- Compile and analyze ecological and biogeographical records from citizen or community science programs.
- Integrate data from experiments and observations (as described above) by developing data-driven models using statistics or machine learning approaches to quantify community changes (e.g., species composition) and ecosystem impacts (e.g., net primary productivity).
- Publish peer-reviewed papers and contribute to developing new proposals.
- Present research findings in scientific meetings and engage with the broader UM-IGCB community.
Required Qualifications:
- A Ph.D. in ecology, environmental science, geography, or a field closely related to global change biology.
- Familiarity with global change experiments and large-scale ecological observations.
- Proficiency in ecological modeling, data analysis, and synthesis across large datasets.
- Strong publication record in peer-reviewed scientific journals and ability to work both independently and collaboratively within an interdisciplinary team.
This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
For any questions, contact the IGCB Program Manager Dr Sarah Raubenheimer ([email protected]).
Training Opportunities
These training opportunities are open to IGCB postdoc and graduate students, as well as other global change researchers who would like to make use of them.
Postdoc Plus Community
The IGCB postdoc group has weekly sessions with the wider IGCB community, where postdocs (and sometimes grad students) can present their work, get feedback on research and/or manuscripts, or even just get advice on something they are working on.
Lunch-and-learn
The IGCB hosts regular lunch-and-learn sessions where we invite a speaker to discuss various topics with us over lunch.
Stats and coding help
The IGCB's Thiago Gonçalves-Souza organises a range of stats and programming related courses/sessions that all are welcome to join.