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Virginia Tech’ s College of Agriculture and Life Sciences (CALS) is seeking applicants for a 12-months tenure track faculty position in Precision Agriculture Technologies and Data Management (Research/Extension) as part of its Phase II SmartFarm Innovation NetworkTM faculty cluster hire. Phase II includes a total of seven (7) faculty positions to be filled within several academic units and Agricultural Research and Extension Centers. Collaborations of cluster hires and existing faculty will enhance interdisciplinary flagship programs at the nexus of digital, biological, social, and physical sciences and engineering with application to agriculture, food, and natural resources. The cluster hire will be affiliated with the Center for Advanced Innovation in Agriculture for enhancing interdisciplinary networking. This ambitious vision will create a statewide network of interconnected faculty, partners, and resources for scientific discovery and developing, deploying, and extending new technologies. The goal is to increase overall productivity, resiliency, sustainability, and economic value of food, agriculture production systems, and natural resources and expand Virginia Tech’s global influence in this rapidly evolving domain.
Building on one of its key research strengths, the University of Georgia is conducting a cluster hire to fill five tenure-track or tenured faculty positions in the area of Integrative Precision Agriculture, of which up to three are being recruited for a target start date of August 2021. Outstanding candidates who can contribute significantly to the application of digital agriculture technologies, data analytics, or models with a focus on the rhizosphere (soil, microbiome, and roots) and/or on sustainable intensification of cropping or plantation forestry systems relevant to the southeastern U.S. are especially encouraged to apply.
This position will provide remote sensing, soil landscape analysis, and geospatial analysis support for the Precision Sustainable Agricultural team (national network of sustainable agriculture scientists), and numerous private partners. The candidate will work with a team of applied agricultural scientists, technologists, and data scientists to assess cover crop and weed dynamics and crop water stress in agronomic cropping systems using a suite of remote sensing systems (satellite, airborne, UAV, tractor-mounted, field deployed) and soil landscape analysis techniques (digital soil mapping, spatial disaggregation, SSURGO analysis). The candidate will assess cover crop performance and weed presence spatially to inform decision support tools, modeling efforts, and precision technologies.