Jobs:Job-00393
Apply before: 14 June 2021
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Posting:
Position: Postdoctoral Research Associate
Apply before: 14 June 2021
Apply online:
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The position is responsible for basic and applied research related to the hydrologic, geomorphic, and vegetation impacts of human-altered rangelands. The project involves 1) landscape scale topographic data analysis involving lidar data and aerial photographs 2) developing and applying statistical and mathematical analysis methods to large-scale topographic data for discovery of hydrologic, geomorphic, and vegetation patterns, and 3) analyses to interpret subsequent influences of hydrologic change on ecosystem services and constraints to land management.
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!
Duties & Responsibilities:
- Conduct research in the following areas related to human altered rangelands: identify legacy soil and water conservation structures such as earthen berms and stock tanks in remotely sensed data including aerial lidar, quantify runoff and channel incision patterns, interpret lansdscape scale changes.
- Conduct literature reviews and comparisons, analyze data, and interpret results.
- Produce multiple peer-reviewed scientific manuscripts, and research proposals as well as present at scientific conferences related to current research.
- Contribute to a team effort that covers aspects of hydrology, geomorphology, applied mathematics, numerical modeling, and geospatial analysis.
Knowledge, Skills and Abilities:
- Knowledge of semiarid hydrology, landscapes, and watershed processes.
- Strong computational and quantitative capabilities, including ability to program in R, Python, etc., Ability to design and execute analyses of topography, runoff, and drainage networks.
- Strong communication and collaboration skills to work with project personnel.
- Ability to work in a collaborative environment
Minimum Qualifications
- Must have a Ph.D. degree in the area of Semiarid Hydrology, Applied Math, Geospatial Analytics or in a related field upon hire.
- Experience in the fields of Geospatial Analysis, Computational Sciences, Geographic Information Science and Numerical Methods.
- Experience in analysis, research, and technical writing.
- Experience with Matlab, GRAS.
Preferred Qualifications
- Research experience with Geomorphon methods for topographic analysis.
- Experience with relational databases.
- Experience with high-performance computing.
