The Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI) is seeking to hire a Research Scientist I and an Environmental Data Science Fellow. If you are looking for a way to positively impact the water and environmental science communities, or are interested in contributing to a dynamic, community-serving organization, you are encouraged to apply!
- Applications close: August 18, 2025
- Location: Remote, must be in United States
Research Scientist I
Experience level: PhD or MS in hydrology, water science or a related field; 0-5 years of experience.
Position Summary: The Research Scientist plays a key role in advancing CUAHSI’s efforts in water data management, hydrologic modeling, and cloud computing. As part of a collaborative and multidisciplinary team of scientists, software developers, and engineers, the Research Scientist I leads and supports technical efforts across a range of CUAHSI programs. This position applies expertise in hydrology, hydroinformatics, and environmental science (or similar) to develop innovative solutions that enhance the scientific value and accessibility of hydrologic data. Key responsibilities include supporting software development with domain knowledge, conducting applied research, and communicating findings through educational training, scientific presentations, and peer-reviewed publications. This is a two-year position, with the expectation of continuation beyond the initial term based on performance, funding availability, and evolving organizational needs.
Environmental Data Science Fellow
Experience Level: Minimum undergraduate degree in environmental science, hydrology, data science, information sciences, or a related field; 0-5 years experience.
Position Summary: The Environmental Data Science Fellow helps researchers publish, curate, and reuse water data in HydroShare and related CUAHSI services. Acting as the primary point of contact for user support, the Fellow provides clear guidance for data publishing practices and workflows, develops training materials, and champions FAIR (Findable, Accessible, Interoperable, Reusable) data and reproducible practices across the community. This work directly contributes to CUAHSI’s core mission by increasing adoption and enhancing usability of data management ecosystems to strengthen the research community’s capacity to publish and reuse water data. The Fellow will join a team of data scientists at CUAHSI working to build data-centric practices across internal operations, educational offerings, and grant-funded research.