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  • Assistant Professor
    Purdue University
    Agricultural & Biological Engineering

    The successful candidate is expected to work and collaborate effectively with other faculty in a highly interdisciplinary effort to address digital agriculture discovery and learning needs. The individual will engage local, state, national and international government, and non-government agencies, industry, and other stakeholders, and contribute to Purdue’s research and teaching efforts focused largely on digital agriculture data handling/analysis.

    Research areas may include:
    • application of cyber-physical systems for improved logistics, sustainability, or product quality improvement
    • design of improved processes and decision tools using computational strategies and data streaming
    • application of machine learning adapted from other industries that bring productivity and sustainability improvements to agriculture
    • engineering of solutions that address data quality and security
    • data architectures, ontologies, and ownership of data
    • cultivation of an open-source culture for rapid innovation
    • involvement in data standards and annotation automation

    Teaching in related subject matter for upper division and/or graduate-level Agricultural Systems Management and/or Agricultural Engineering majors is expected. The individual will also develop a successful externally funded research program.

    This is an academic year, tenure track, research and teaching position. The successful candidate will build a renowned program in this area that is inclusive of an international dimension.
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