Postdoctoral Scholar-Fixed Term

Position Summary

The Department of Fisheries and Wildlife seeks a postdoctoral scholar to develop metacoupling based, physics guided machine learning models for harmful algal bloom forecasting in western Lake Erie using NOAA and CIGLR datasets. The position supports Great Lakes prediction, scenario analysis, and interdisciplinary collaboration.

The postdoctoral scholar will lead interdisciplinary research on harmful algal blooms in western Lake Erie. The position will develop predictive models that integrate intracoupling, pericoupling, and telecoupling drivers using a metacoupling based, physics guided machine learning framework. Responsibilities include compiling and managing multi scale environmental datasets, conducting contribution and scenario analyses, developing and evaluating predictive models, collaborating with faculty and partners at MSU, CIGLR, and NOAA GLERL, preparing manuscripts and conference presentations, and contributing to related proposal development and research activities.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -Environmental Science, Ecology, Fisheries and Wildlife, Geography, Hydrology, Data Science, Limnology, or a closely related field

Minimum Requirements

Doctoral degree in environmental science, ecology, fisheries and wildlife, geography, hydrology, data science, limnology, or a closely related field by the start date.

Demonstrated experience in quantitative analysis and scientific programming, such as Python or R.

Strong written and oral communication skills.

Evidence of scholarly productivity, including peer reviewed publications or manuscripts in progress.

Ability to work independently and collaboratively in an interdisciplinary research environment.

Desired Qualifications

Experience with machine learning, deep learning, or physics-guided machine learning modeling.

Experience working with freshwater systems, Great Lakes research, limnology, or harmful algal blooms.

Experience handling large environmental, observational, or time series datasets.

Experience with environmental forecasting, scenario analysis, or coupled human and natural systems research.

Required Application Materials

Cover letter

Curriculum vitae

Contact information for three professional references

Special Instructions

Remote Work Statement

MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.

Website

https://www.canr.msu.edu/fw/

Department Statement

The Department of Fisheries and Wildlife is a vibrant community of scholars including approximately 50 core faculty, 20 postdoctoral research associates, 100 graduate students, 240 undergraduate students, 7 core staff, and 25 research/center/program staff.

Our Mission is to build local, national, and international capacities to conserve ecosystems that support fish, wildlife, and society through integrated programs in research, education and engagement. We are committed to the integrative nature of natural resources conservation and management, with our expertise ranging from disciplinary areas with a long-standing history in the domain of fisheries and wildlife to those emerging more recently.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.