University of Arizona

Tucson, AZ

Job posting number: #7081503

Posted: July 22, 2021

Application Deadline: Open Until Filled

Job Description

Position Highlights Seeking a postdoctoral scholar to work on a national hydrologic modeling platform. Our group develops and maintains a high-resolution integrated groundwater surface water model of the US through DOE and NSF supported grants. We are building community infrastructure to expand model capabilities, build tools to provide access to the model and develop machine learning emulators. We are looking for researchers who are interested in developing this platform and using it to improve hydrologic process understanding and prediction. Successful applicants will be joining a diverse interdisciplinary team with close collaborations between hydrologists, data scientists and software engineers working across multiple public and private institutions. The postdoc will be a part of a large and highly collaborative team.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

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Duties & Responsibilities
Conducting research on integrated hydrologic modeling and ML emulators.
Collaborating with the PI and project leadership on research ideas and direction.
Participating in research meetings and helping contribute to and lead group discussions.
Developing reproducible and sharable analysis using best software practices.
Collaborating with students in the research group on methods and research ideas.
Publishing results in peer reviewed journals and presenting at relevant conferences.
Knowledge, Skills, and Abilities:

Strong written and verbal communication skills.

Minimum Qualifications
Must have a doctorate degree in PhD in hydrology, environmental engineering, geosciences, applied math, computer science or related field upon hire.
Preferred Qualifications
Experience with physically based hydrologic models is preferred.
Experience coding in Python and additional experience in Fortran or C is also desirable.
Experience working in GitHub and a preference will be given for applicants who also have experience with high performance computing.

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