Position Details
Position Information

Recruitment/Posting Title	Post Doc Associate
Department	SEBS - Remote Sensing
Salary	Commensurate With Experience
Posting Summary	The Center for Remote Sensing & Spatial Analysis is seeking a  Post Doctoral Associate who  will be responsible for providing expertise in ecological applications of remote sensing and geospatial analysis, working collaboratively with the faculty and staff of the Center For Remote Sensing & Spatial Analysis; the Department of Ecology, Evolution, and Natural Resources, the School of Environmental and Biological Sciences, and across the University.  This position will be expected to perform both quantitative, geospatial, and qualitative research and data analysis, write technical reports and journal article, and prepares conference presentations as well as briefings with key constituencies.  This position will be involved with two main projects:  ·       Remotely sensed classification, mapping, and analysis of spatial/temporal trends of New Jersey’s seagrass habitats. ·       Remotely sensed characterization of Pinelands forest structural composition and the light/temperature environment and consequences for fence lizard habitat quality.
Position Status	Full Time
Posting Number	23FA0754
Posting Open Date
Posting Close Date

Qualifications

Minimum Education and Experience	A PhD degree in ecology, natural resources management, geography or related field with advanced training and/or professional experience or certifications in Geospatial Information Science and Technology. Extensive experience in the development and application of remote sensing and geospatial information sciences to ecology and/or wildlife biology/conservation.  Experience integrating knowledge and methods from different disciplines; and working on interdisciplinary teams.
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Expertise in remotely sensed image analysis and classification working with both multispectral and LiDAR sensor data, especially as it relates to characterizing the vegetation community composition and structure and relation to habitat quality.   Firsthand knowledge of ecological field inventory, both plant and animal, techniques. Demonstrated coding skills in either RStudio or Python.    Demonstrated experience with ERDAS Imagine or other remotely sensed image analysis software, ESRI ArcGIS/ArcPro, machine learning/statistical analysis in R    Strong communication skills with excellent knowledge in English, both written and spoken.
Equipment Utilized
Physical Demands and Work Environment	Most of the work will be conducted indoors in a computer lab but there will be some field work on coastal bays, salt marshes and forests. Field work can be physically demanding/fatiguing with hot/humid weather, biting insects and some physical discomfort.
Overview
Statement

Posting Details

Special Instructions to Applicants
Quick Link to Posting	https://jobs.rutgers.edu/postings/206768
Campus	Rutgers University-New Brunswick
Home Location Campus	Cook (RU-New Brunswick)
City	New Brusnwick
State	NJ
Location Details

Pre-employment Screenings

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Immunization Requirements

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