Postdoctoral Researcher, Climate Change and Forest Effects on Water Quality and Fish
University of Michigan - Ann Arbor
Location: Ann Arbor, Michigan
Internal Number: 228382
Applications are welcome and encouraged from all qualified individuals regardless of background and identity.
If interested, the following application materials should be emailed to Dr. Runzi Wang (email@example.com). Please include “Postdoc Position Application” in the subject line of your email.
Cover letter describing general research interest
One representative manuscript (preferably first authored and published)
List of 3 references with contact information (email)
A postdoctoral position is available starting June 2023 at University of Michigan’s School for Environment and Sustainability. We are looking for a highly motivated postdoc who will work on the topic of “Investigating the role of forest characteristics in mitigating climate change effects on water quality and fish community composition.”
The candidate will work together with Drs. Runzi Wang, Karen Alofs, and Bill Currie to study how forest characteristics and climate factors jointly affect stream chemistry and fish diversity indices in the Great Lakes Basin using coupled physical-based hydrological model and data-driven model.
Potential tasks will include using data from the National River and Stream Assessment (NRSA) and open-source (e.g., remote sensing) climate and forest datasets to identify the most important climate and forest characteristics factors for water quality and fish and; applying SWAT to model how water quality reacts to the changing climate and forest management scenarios and projecting the impact on fish diversity. The position will require experience with physical-based hydrological model like Soil & Water Assessment Tool (SWAT), excellent statistical knowledge and coding skills, and knowledge in forestry, freshwater ecology, and water chemistry.
Ph.D in environmental science, ecology, geography, urban planning, landscape architecture, natural resources, computer science, data science, information science or related field is required
Experience with physical-based hydrological models like Soil & Water Assessment Tool (SWAT)
Excellent statistics practical knowledge
Knowledge in forestry, freshwater ecology, and water chemistry
Familiarity with programming languages such as R and Python
The School for Environment and Sustainability (https://seas.umich.edu/) is a collaborative and interdisciplinary school. Our mission includes contributing to the protection of environmental resources and the achievement of a sustainable society. We accomplish this by generating and sharing knowledge, contributing to policy and engaging managers and stakeholders. The University of Michigan is a top-ranked public university with excellence in research and teaching. Ann Arbor, home to the University of Michigan, is a town known for arts, culture, parks and restaurants.
SEAS is committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively respond to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society.
Application deadline is *Feb 28, 2023* but applications will be reviewed as they are received. Please contact Dr. Runzi Wang (firstname.lastname@example.org) with questions regarding this position.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
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