Texas A&M University - Biological & Agricultural Engineering - Assistant/Associate Professor-AI in Agriculture

Company:

Texas A&M University

Division:

Biological & Agricultural Engineering

City:

College Station

State:

TX

County:

Brazos

Country:

USA

Email Address:

robert.hardin@ag.tamu.edu

Website URL:

https://apply.interfolio.com/189784

Posted: 08/05/2026

Assistant/Associate Professor-AI in Agriculture

Department: Biological & Agricultural Engineering

Job Title: Assistant Professor/Associate Professor

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.