» Jobs » Weed scientist/ecologist with USDA-ARS in USDA-ARS, Beltsville Maryland

Weed scientist/ecologist with USDA-ARS in USDA-ARS, Beltsville Maryland

Type of position Post Doctoral Researcher
Employer USDA-ARS
Description of Employer The selected applicant will join a USDA-ARS Area-Wide funded project titled: “An integrated
pest management approach to addressing the multiple herbicide-resistant weed epidemic in
three major U.S. field crop production regions.” The national project involves a
multidisciplinary team (weed scientists, ecologists, economists and social scientists), across 17
states tasked with moving adoption of integrated weed management (IWM) forward to help
solve the problem of multiple herbicide resistant weeds.
Location USDA-ARS, Beltsville Maryland
Salary ~$64,000 but depends on experience
Closing date of competition end of January
Date position available Early 2018 preferred
Description of duties

Duties will include: coordinating field and laboratory experiments, organizing and analyzing

data, writing and presenting research results in scholarly journals and extension publications,

presenting results at meetings with producers, farmers and industry representatives, and

supervising and training undergraduate and graduate students. The successful candidate will

have ample opportunities for the development of independent but related lines of research on

multi-tactic weed management, IWM, and cover crop-based weed management.

Qualifications sought

Experience with conducting field-based research is required. Experience with laboratory- and

greenhouse-based research is desired. We are looking for candidates with excellent

organization and quantitative skills, demonstrated record of research excellence, and expertise

in the following areas of weed science: weed ecology/biology, population dynamics, multi-tactic

weed management, and strong quantitative skills.


– PhD in Weed Science/Ecology, Plant Ecology/physiology, Agronomy or soil science.

– Excellent writing and presentation skills.

– Strong background in statistics, preferred candidate will have experience with statistical

modeling, and demographic simulation modeling.

Contact for additional information Steven Mirsky
Application procedure  
Submit what CV
Submit to steven.mirsky@ars.usda.gov
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