Texas A&M University
Tenure Track: Assistant Professor – Artificial Intelligence in Soil and Crop Sciences
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Job Description
##### Description
Position
Description: The Department of Soil and Crop Sciences in the College of Agriculture and Life Sciences at Texas A&M University in College Station, TX, seeks outstanding applicants for a tenure-track Assistant Professor faculty position in Artificial Intelligence in Soil and Crop Sciences. This is a 9-month, full-time, tenure-track faculty position with research, teaching, outreach, and service responsibilities. This position is part of a four-position cluster hire in AI in Agriculture across the College of Agriculture and Life Sciences to develop an undergraduate minor in AI-Enabled Agricultural Systems and build research capacity in this area. The anticipated start date is August 16, 2027.
Major Duties and Responsibilities
: The successful applicant will be responsible for developing a highly impactful, extramurally funded research program integrating artificial intelligence into soil and crop sciences. Their work would use artificial intelligence to improve knowledge and outcomes by leveraging and integrating varied relevant data (which may include agronomic, environmental, economic, genomic, nutrition, pest and disease, phenotypic, physiological, management, microbiome, soil, weather, and water), as well as applications and technologies (which may include precision soil and water management, decision-support tools, precision human nutrition, remote sensing, robotics, sensors and variable-rate applications). The successful applicant must demonstrate strong expertise in artificial intelligence, machine learning, data analytics, or related computational approaches, along with experience in applying these tools to soil, crop, environmental, or biological systems.
The individual will work closely with agronomists, computer scientists, crop physiologists, data scientists, engineers, genomics and genetics researchers, plant breeders, soil scientists and water researchers in Texas A&M AgriLife Research
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