Job Description

Applications are welcomed and encouraged from all qualified individuals regardless of background and identity. To apply, please complete the application on the U-M Careers site. A one page 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 your experience that is directly related to this position. 
• Describe in detail your experience that pertains to each of the required qualifications listed below.

We are seeking a Hydrologic Data Specialist to support efforts underway at the Cooperative Institute for Great Lakes Research (CIGLR) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) to develop next generation hydrologic and water level forecasting of the Great Lakes and advance ice data analysis. In this position, you will

• Integrate hydro-meteorological features, such as teleconnections, snow, and soil conditions, into data-driven hydrologic models for the Great Lakes region.
• Assess model performance and integration of models into the operational framework.
• Analyze ice modeling and observation datasets and perform intercomparisons.

In addition to data analysis and computing work, you will also be expected to attend collaborative meetings and provide progress updates, present results at scientific conferences (e.g., the International Association for Great Lakes Research), and help prepare manuscripts for publication in high-impact journals. You will be expected to work as part of an interdisciplinary team, as well as  independently on individual job responsibilities and goals. In this position you will report to SEAS-CIGLR Assistant Research Scientist, Yi Hong.

This position is open only to US Citizens or permanent residents due to federal security clearance required for access to NOAA GLERL facilities and resources.

Term Limited Appointment: This is a one (1) year term limited appointment, with an opportunity for extension based on funding and performance.

• Process and analyze collected meteorological datasets (e.g., CFSR, ERA5) and derive features representing teleconnections, such as extratropical cyclones (ETCs).
• Develop data-driven hydrologic models for the Great Lakes region under the guidance of CIGLR and GLERL hydrologic and data scientists. 
• Incorporate features like ETCs and initial catchment conditions, including snowpack and soil moisture, into hydrologic models and evaluate the performance of different model configurations.
• Integrate the developed models into the operational water level forecasting framework. 
• Analyze existing ice cover datasets and long-term simulations, and perform statistical analyses such as seasonal, trend, and regression analysis. 
• Contribute to project reports and professional manuscripts by providing project analysis, results, and figures.
  

• A Bachelor's degree in a field similar to hydrology, Earth-system data science, geosciences, or climate science. A Master's degree is preferred.
• At least 1 year of related professional or academic experience.
• Experience working with machine learning or AI models.
• Familiarity with hydrologic numerical modeling.
• Familiarity with data analysis and visualization in a scripting environment using Python or similar software.
  

Salary will be determined based on experience.

The School for Environment and Sustainability () 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 responds 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.

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.

The University of Michigan is an equal opportunity/affirmative action employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

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