Job Description Summary Organization's Summary Statement: Position Summary: The College of Agriculture and Natural Resources at the University of Maryland seeks candidates with expertise in utilizing AI and machine learning to improve decision-making in agriculture, agroecology, and/or natural resources. Applications are invited for one or more tenure-track faculty positions (a cluster hire) at the rank of Assistant
Professor with 60% research and 40% teaching appointment. Faculty will be members of one of these departments based on their disciplinary expertise and research interests: Animal and Avian Sciences, Environmental Science and Technology, Veterinary Medicine, Nutrition and Food Science, or Plant Science and Landscape Architecture. Depending on the department's needs, the exact split of the position's research and
teaching responsibilities is negotiable at the time of appointment. The successful candidate will join a collaborative, interdisciplinary research community at UMD, with opportunities to collaborate with the AI Interdisciplinary Institute @ Maryland (AIM; https://aim.umd.edu/), Maryland Agricultural Experiment Station (MAES), and regional stakeholders involved in agricultural and environmental management for rural
and urban ecosystems. Applicants may also be considered for a joint appointment with AIM. Ultimately, we seek individuals interested in applying AI to benefit Maryland residents and farmers in support of UMD’s Land Grant mission. Candidates’ disciplinary backgrounds could include, but are not limited to, agricultural engineering, agronomy, animal or avian science, aquaculture, computer science, environmental science,
food science, horticulture, natural resources management, human or animal nutrition, plant science, biology, genetics, plant pathology, veterinary medicine, or related fields. Successful candidates will have experience/expertise applying AI in big data analytics, sensors, computer vision, robotics, remote sensing, precision agriculture, biological systems, molecular biology, precision nutrition, microbiome, wearable
technology for health or performance monitoring, gene discovery, or other relevant technologies to solve current community/agriculture/environmental problems. Specific areas of research opportunity include: - Utilizing AI to accelerate the discovery of strategies leading to improved health outcomes of humans, plants, animals, and the environment, - Application of AI-enabled surveillance or remote sensing systems, for
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