Apply now Back to search results Job no:527043
Work type:Research Faculty
Senior management: Agriculture & Life Sciences
Department: Tidewater AREC
Location:Suffolk, Virginia
Categories:Agriculture / Life Science, Research / Scientific

Job Description

The Crop Physiology Lab at Virginia Tech’s Tidewater Agricultural Research and Extension Center (TAREC), in Suffolk, VA, is inviting applications for a Postdoctoral Associate position. Successful candidate will serve as the Manager of a multi-state project on faba bean winter production in the Mid-Atlantic region. The project includes areas of breeding, phenomics, genomics, agronomics, economics, food science and engineering.

The successful candidate is expected to be creative, self-motivated and independent, and demonstrate evidence of technical writing. The position requires travel frequently to testing sites in Virginia and occasionally North Carolina, Maryland, and Delaware. The position is located at TAREC in Suffolk, VA and will be available for a period of four years (starting in October 2023), with one year offered initially and renewed annually based on the appointee’ s performance (dependent on eligibility).

Required Qualifications

PhD degree at the time of appointment in Agricultural Engineering/Computer Science/Crop & Plant Science/or related field earned no more than four years prior to the effective date of the appointment with a minimum of one year of eligibility remaining.
Ability to independently design (statistically) an experiment, execute field research (from planting to postharvest), and analyze and interpret the results (linear and non-linear models in SAS, R, Python, C/C++, etc.).
Experience with computer vision and machine learning packages.
Experience with remote sensing data processing (e.g. Pix4D, ArcGIS, QGIS, etc.).
Must have working knowledge of agricultural cropping systems (agronomy, physiology, breeding).
Demonstrated technical writing and communication skills (peer-reviewed publications, student competitions, etc.).
Safe driving record required.

Preferred Qualifications

Previous experience with data analytics and visualization applications for breeding selection and phenotyping.

Appointment Type

Restricted

Salary Information

Commensurate with experience

Review Date

October 8, 2023; until position is filled

Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College . The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Dr. Maria Balota at mbalota@vt.edu during regular business hours at least 10 business days prior to the event.