University of Arizona
Postdoctoral Research Associate I, Hydrology & Atmospheric Sciences
University of Arizona, Tucson, Arizona, United States, 85775
Postdoctoral Research Associate I, Hydrology & Atmospheric Sciences
We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO) located at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance partitioning. Affinity with remote sensing techniques is a plus. The candidate is expected to contribute to research proposals that can be submitted to relevant funding agencies, such as National Science Foundation, to further fund the research. The project will take advantage of the exceptional measurement capability of the LEO hillslopes and will gain novel insights into the mechanisms that control transpiration of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local measurements of water and energy balance components. Test these upscaling methods at the Landscape Evolution Observatory. Publish research results in international peer-reviewed journals 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! The duties and responsibilities include: Organize existing data from measurement campaigns in 2024 at the LEO; these data include water vapor and CO2 flux measurements using LiCOR, thermal infrared images at locations of these LiCOR measurements, and nearby shallow soil moisture and soil temperature measurements. Extend the database by organizing follow-up campaigns; these campaigns may include working with undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling methods to estimate whole-ecosystem transpiration from local observations. Contribute to the preparation of reports and proposals. Participate with supervision of students and teaching. Knowledge, skills, and abilities: Strong communication skills. Minimum qualifications: PhD in Hydrology or related field must be attained by time of hire. Track record of peer-reviewed publications. Preferred qualifications: Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine learning. Demonstrated experience in innovative research. FLSA: Exempt Full Time/Part Time: Full Time Number of Hours Worked per Week: 40 Job FTE: 1.0 Work Calendar: Fiscal Job Category: Research Benefits Eligible: Yes - Full Benefits Rate of Pay: NIH Salary Guidelines, Depends on Experience Compensation Type: salary at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies: 1 Contact Information for Candidates: Peter Troch | patroch@arizona.edu Open Date: 7/2/2025 Open Until Filled: Yes Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter
We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO) located at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance partitioning. Affinity with remote sensing techniques is a plus. The candidate is expected to contribute to research proposals that can be submitted to relevant funding agencies, such as National Science Foundation, to further fund the research. The project will take advantage of the exceptional measurement capability of the LEO hillslopes and will gain novel insights into the mechanisms that control transpiration of ecosystems. The project aims to: Improve our understanding of what controls net primary production of ecosystems. Develop upscaling methods to estimate whole-ecosystem transpiration from local measurements of water and energy balance components. Test these upscaling methods at the Landscape Evolution Observatory. Publish research results in international peer-reviewed journals 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! The duties and responsibilities include: Organize existing data from measurement campaigns in 2024 at the LEO; these data include water vapor and CO2 flux measurements using LiCOR, thermal infrared images at locations of these LiCOR measurements, and nearby shallow soil moisture and soil temperature measurements. Extend the database by organizing follow-up campaigns; these campaigns may include working with undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling methods to estimate whole-ecosystem transpiration from local observations. Contribute to the preparation of reports and proposals. Participate with supervision of students and teaching. Knowledge, skills, and abilities: Strong communication skills. Minimum qualifications: PhD in Hydrology or related field must be attained by time of hire. Track record of peer-reviewed publications. Preferred qualifications: Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine learning. Demonstrated experience in innovative research. FLSA: Exempt Full Time/Part Time: Full Time Number of Hours Worked per Week: 40 Job FTE: 1.0 Work Calendar: Fiscal Job Category: Research Benefits Eligible: Yes - Full Benefits Rate of Pay: NIH Salary Guidelines, Depends on Experience Compensation Type: salary at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies: 1 Contact Information for Candidates: Peter Troch | patroch@arizona.edu Open Date: 7/2/2025 Open Until Filled: Yes Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter