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 |
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| Posting Close Date |
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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.
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| Certifications/Licenses |
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| 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.
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| Equipment Utilized |
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| 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 |
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| Statement |
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Posting Details
| Special Instructions to Applicants |
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| 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 |
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Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
Nov 16, 2024