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Hydrologic Data Specialist — Univeristy of MIchigan, Cooperative Institute for Great Lakes Research

Posted: 
02/21/2025
Expiration Date: 
02/26/2025

Hydrologic Data Specialist — Univeristy of MIchigan, Cooperative Institute for Great Lakes Research

Summary
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.

Qualifications

  • 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.

For more information and to apply:
Visit https://careers.umich.edu/job_detail/259284/hydrologic-data-specialist

The application deadline is 2/26/25.