Back to Listings Tenure-Track/Tenured: Assistant or Associate Professor, AI for Autonomous Agricultural Systems-Robotics & Sensing Biological and Agricultural Engineering Location College Station, Texas Open Date 8/4/2026 Position ID 187730 Description Position Description: The Department of Biological and Agricultural Engineering in the College of Agriculture and Life Sciences at Texas A&M University invites
applications for a 9-month, full time position in Artificial IntelIigence (AI) for Autonomous Agricultural Systems- Robotics & Sensing. Applicants will be considered for the titles of Assistant Professor (Tenure-Track) and Associate Professor (Tenured). The department has top-ranked graduate and undergraduate programs and a strong research emphasis in machinery systems and postharvest process engineering. This
position is part of a four-position cluster hire in AI in Agriculture across the College of Agriculture and Life Sciences to build research capacity in this area. Within this cluster, the Biological and Agricultural Engineering position focuses on AI-enabled autonomy, robotics, and precision operations in agricultural production. This position should address major challenges facing agriculture, such as efficiency,
labor costs and availability, emerging biotic threats, water use and efficiency, and soil health. This position requires strong technical expertise in AI, sensing, automation and controls, or robotics, as well as knowledge of agricultural systems. Duties and Responsibilities: The successful candidate will develop an internationally recognized integrated research and teaching program that advances intelligent
agricultural machinery systems and prepares students for careers at the intersection of agriculture and technology. Potential research areas may include, but are not limited to agricultural autonomy, collaborative robotics, AI-enabled sensing systems, cyber-physical systems for agriculture, federated learning, edge computing, development of novel AI algorithms for agricultural applications, embodied AI, simulation to
reality transfer, and systems engineering incorporating big data and artificial intelligence. Agriculture will be transformed in the coming decades by the adoption of robotics and data-driven systems. This position will lead innovation in development and in-field evaluation of these agricultural systems to increase farmer profitability, minimize resource use, and enhance the resilience of agriculture in Texas and
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