Assistant Research Professor on Large National Hydrologic Simulations

University of Arizona

Tucson, AZ, USA 🇺🇸

Posting Numberreq14202
DepartmentHydrology & Atmospheric Sci
Department Website Link
Medical Sub-Speciality
LocationMain Campus
AddressTucson, AZ USA
Position HighlightsThe department of hydrology and atmospheric sciences is hiring a research assistant professor to work on large national hydrologic simulations. We are specifically interested in candidates with experience in machine learning and large datasets for terrestrial hydrology. Successful candidates with be knowledgeable in best software practices and able to work closely with a software development team.The University of Arizona is a R1, Hispanic-Serving Institution (HSI). We seek candidates that will strengthen current efforts by the University and the Department of Hydrology & Atmospheric Sciences to promote diversity, equity, and inclusivity initiatives on campus, and who will help to promote programs that seek to increase participation from traditionally underrepresented groups in STEM.This career-track appointment is not eligible for tenure.Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & ResponsibilitiesDUTIES AND RESPONSIBILITIES: The successful candidate will be expected to work both independently and as part of a team. Key responsibilities will include:Conducting research on machine learning for hydrologic prediction. This will involve developing model architectures, training models, and testing performance.Collaborating with students and software developers on the research team. In the case of students, it’s expected that the successful candidate will share workflows and be available to meet with students and help mentor them on machine learning. For the software developers the successful candidate will be available to provide perspectives in software implementations and help guide platform development.Publishing and funding development. The successful candidate will be expected to lead publications and presentations on their work. They will also be expected to identify additional external funding opportunities and help lead funding proposals.

KNOWLEDGE, SKILLS, AND ABILITIES:Ability to communicate effectively.Ability to work with students.Ability to develop reproducible workflows with documentation.Ability to pick up new software packages independently.Knowledge of best software practices.Knowledge of current state of the science for machine learning and hydrology.Skilled in written and verbal science communication.
Minimum QualificationsPhD in hydrology, earth science, environmental engineering, or a relevant discipline upon hire.Demonstrated experience working with hydrologic models and datasets.Demonstrated experience with machine learning in hydrology.
Preferred QualificationsExperience working in interdisciplinary teams.Experience mentoring students and developing educational resources.Experience submitting proposals to national funding agencies.
Tenure InformationCareer-Track (CT)
Full Time/Part TimeFull Time
Number of Hours Worked per Week40
Job FTE1.0
Work CalendarFiscal
Job CategoryFaculty
Benefits EligibleYes – Full Benefits
Rate of PayDOE
Compensation Typesalary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:Name-based criminal background check (non-security sensitive)
Number of Vacancies1
Target Hire Date5/1/2023
Expected End Date
Contact Information for CandidatesFor additional information please contact Laura Condon at
Open Date3/23/2023
Open Until FilledYes
Documents Needed to ApplyCurriculum Vitae (CV), Cover Letter, and One Additional Document
Special Instructions to ApplicantPlease submit a CV, Cover Letter, and Statement of Research Interest to complete the application.
Diversity StatementAt the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.





IHE Delft MSc in Water and Sustainable Development