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Research Ecologist/Research Rangeland Management Specialist (Research Associate)

Department of Agriculture
Agricultural Research Service
This job announcement has closed

Summary

ARS is the USDA's chief scientific research agency and one of the worlds premiere scientific organizations. ARS Postdoctoral Research Associates are hired to supplement a lead scientists research on agricultural problems of high national priority affecting American agriculture.  The incumbent will be assigned to the Rangeland Resources Systems Research Unit (RRSRU) and is located within the Center for Agricultural Resources Research (CARR) in Fort Collins, Colorado.   

Overview

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Job closed
Open & closing dates
12/18/2018 to 03/06/2019
Salary
$66,577 to - $86,553 per year
Pay scale & grade
GS 11
Location
Fort Collins, CO
1 vacancy
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - For meetings and conferences
Relocation expenses reimbursed
No
Appointment type
Temporary
Work schedule
Full-Time
Service
Excepted
Promotion potential
11
Supervisory status
No
Drug test
No
Announcement number
RA-19-005-HA
Control number
519924500

Duties

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The incumbent will a) link hyperspectral remote sensing data with high quality ground based observations to develop new high-volume workflows and analysis tools for mapping grassland plant communities at a fine spatial scales and b) use results to predict livestock performance in semi-arid rangelands. The incumbent will (1) map plant species composition using National Ecological Observatory Network (NEON) hyperspectral imagery and ground-based data collected in 2013 and 2017 by developing targeted hyperspectral analysis techniques that can effectively separate key plant community types in grasslands (e.g., different types of perennial grasses, annual grasses, wildflowers, succulents, and short-statured shrubs); (2) develop hyperspectral analysis processes and tools (e.g., scripts and software workflows) for use by the broader remote sensing communities; and (3) evaluate how spatial patterns in plant community composition, mapped via hyperspectral imagery, can be combined with high-resolution topographic models to predict spatial and temporal variation in livestock foraging behavior and resultant animal weight gains. Possible methods include combining supervised remote sensing classification techniques (e.g., spectral angle mapping, support vector machine, and machine learning algorithms such as convolution neural networks) with targeted vegetation indices to classify NEON hyperspectral imagery; implementing state-of-the-art software that is easily ported to computing resources such as SCINet or cloud computing platforms to process, analyze, and evaluate the remote sensing data; and using spatially-explicit statistical approaches to assess impacts of plant community composition on livestock weight gains and foraging distributions.

Requirements

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Conditions of employment

  • A Ph.D. is required that was obtained within the last four years
  • Appropriations Law and Immigration Law requirements must be met
  • Pre-employment fingerprint check with successful adjudication is required

Selectee must be able to obtain and maintain a security clearance. If selected you may be subject to a National Agency Check and Inquiry (NACI) and a credit report inquiry.

This appointment is Not to Exceed 2 years, with possible extension up to 4 years total. 

U.S. citizens, permanent residents who meet certain eligibility requirements and non-citizens who meet certain eligibility requirements

Additional information on the employment of non-citizens can be found at: http://www.afm.ars.usda.gov/hrd/EmployForeignNationals/index.htm

**ANNOUNCEMENT IS OPEN UNTIL FILLED OR December 17, 2019**

Qualifications

This position requires a Ph.D in Remote Sensing, Rangeland Ecology, Ecosystem Science and Management, or a closely related field of study that has equipped the applicant with the necessary knowledge, skills and abilities to perform the duties and responsibilities of the position.
 
Knowledge of contemporary remote sensing techniques is required; GIS skills alone are insufficient. Knowledge of advanced computer programming, spatial statistics, and animal foraging behavior are desirable.

Applicants must meet basic Office of Personnel Management (OPM) Qualification Standard's requirements of the scientific discipline necessary to perform the duties and responsibilities of the position.

This position has a positive education requirement. You must submit a copy of your academic transcripts OR a list of college courses with credit hours, dates completed, and grades received to verify education when applying for this position. If this information is not provided, your education may not be appropriately evaluated and you may lose consideration for this position. If you are selected for this position, you will have to provide an official copy of your transcripts prior to entering on duty. Application materials will not be returned.

Education

Education completed in foreign colleges or universities may be used to meet the above requirements if you can show that the foreign education is comparable to that received in an accredited educational institution in the United States. It is your responsibility to provide such evidence when applying.
Foreign education must be evaluated by an approved organization. For additional information, refer to the U.S. Department of Education web site at http://www.ed.gov. All transcripts must be in English or include an English translation.

Additional information

•  Direct Deposit - Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to a financial institution of your choosing.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Your application will be evaluated to determine if you meet eligibility and minimum qualification requirements, and on the extent to which your application shows that you possess the knowledge, skills, and abilities (KSAs) associated with the position as defined above under "Qualifications".


To view the application form, visit: https://ars.usda.ntis.gov/cp/?event=jobs.previewApplication&jobid=C248D643-CFA5-4472-8063-A9B901220999

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