How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. We welcome applicants with disabilities and support individuals in requesting accommodations.
If you are unable to upload your full materials to this website, please send an email to [email protected] with the job ID (284607) in the subject line.
Who We Are
At the University of Michigan School for Environment and Sustainability (SEAS), we are at the forefront of building a more sustainable and just world for all by transforming the impact of higher education and reimagining the future. We are advancing action through innovation, research, education and engagement in society, and developing leaders who are empowered to halt the climate crisis and create an environmentally sound future for generations to come.
To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values.
Job Summary
The University of Michigan's School for Environment and Sustainability (SEAS) and Dr. Tiantian Yang's research lab are seeking a highly motivated Postdoctoral Research Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather prediction, snow observation, snow modeling, soil moisture data analytics, and global reservoir/lake system analysis, modeling using remotely sensed information, and AI/ML models in support of water resources decision-making. The postdoc will also mentor graduate students, contribute to grant proposal development, engage in agency outreach and partnership activities, publish high-quality research articles, and present research outcomes at national professional conferences.
Responsibilities*
- Conduct and develop research related to hydrologic modeling, flood forecasting, extreme weather prediction, snow observation, snow modeling, soil moisture data analytics, and global reservoir/lake system analysis
- Prepare high-quality publications, present results at leading conferences, and contribute to interdisciplinary workshops
- Contribute to grant proposals and collaborative research project development, collaborating with SEAS scholars and administrators
- Mentor graduate students and engage in community/agency outreach and stakeholder engagement
Required Qualifications*
- PhD in civil/environmental engineering, hydrology, hydraulics, water resources engineering, GIS, remote sensing, atmospheric sciences, climate science, computer science, data science, geography, or a related field (completed by start date or within four months).
- Strong records of journal article publications and conference participation experience
- Demonstrated ability to work collaboratively with interdisciplinary teams
Desired Qualifications*
- Experience with large-scale datasets and computationally intensive models.
- Experience with large-scale observation data (not limited to soil moisture data, reservoir and lake data, remote sensing data, ET data, or streamflow data in support of hydrologic modeling and/or reservoir system modeling).
- Strong programming and computational skills (Python, PyTorch, TensorFlow, or equivalent).
- Experience in either developing or applying Artificial Intelligence and Machine Learning tools and algorithms to solve hydrology and water resources problems.
- Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Application Deadline
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended.
Applications will be reviewed as received throughout the posting period and continue until the position is filled.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.