Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
This position provides an opportunity for biofuel sorghum research and High Throughput Phenotyping (HTP) for variety selection and management. The position will be located within the Crop Physiology project at the Virginia Tech's Tidewater Agricultural Research and Experiment Center in Suffolk, VA. The main responsibilities are leading the fieldwork for data collection, management to assess agronomy and physiology of water use efficiency, and to optimize biofuel biomass production including nitrogen use and seeding rate (70%). Other responsibilities include field remote phenotyping and data analytics (30%). Hyperspectral remote sensing of crop performance includes ground and aerial platforms. Writing peer-reviewed publications, reports, and grant proposals and presenting research results at professional meetings are expected. The position requires weekly travel to the testing sites in southeastern Virginia, constant communication with collaborators in North Carolina and South Carolina, and occasional travels to meeting in these states. The position requires a solid understanding of agronomic and plant science principles, accuracy with data collection, and work well with others in a team.
Ph.D. degree in Agricultural Engineering, Agronomy, Biosystems Engineering, Computer Science, Plant Physiology, or related disciplines. Ability to independently design (statistically) an experiment, execute field research (from planting to post-harvest), and analyze and interpret the results (linear and non-linear models in SAS, JMP, Systat, etc.) documented by the record of publications. Ability to give and follow orders; communicate effectively in English (in oral and writing); good organizational skills; must have a valid driving license and record.
Previous experience in data analytics, visualization, and good record of peer-reviewed publications and presentations at professional meetings.
Employee Category: Research Faculty
Appointment Type: Restricted
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, or veteran 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 any other basis protected by law.
For inquiries regarding non-discrimination policies, contact the executive director for Equity and Accessibility at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth's most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfills its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).