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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic
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: • Demonstrated expertise in quantitative modeling and data analysis. • Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI
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. Scientific writing skills demonstrated through peer reviewed publications. Ability to acquire accurate, reproducible data. Critical eye towards consistency, reproducibility, and the scientific method in
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. ● Ability to acquire accurate, reproducible data. ● Critical eye towards consistency, reproducibility, and the scientific method in general. ● Excellent project and time management skills. ● Strong