The Department of Agricultural Leadership, Education, and Communications (ALEC), College of Agriculture and Life Sciences at Texas A&M University, invites applications for a cohort hire of up to four full-time, 9-month Assistant Professor faculty positions with academic, scholarly, and professional credentials and accomplishments in the social sciences, specifically pertaining to Artificial Intelligence. The selected candidate(s) are expected to start on August 1, 2027.
The successful candidate will contribute to the continued growth of ALEC academic programs, specifically the Ph.D. programs in Agricultural Leadership, Education, and Communications and the undergraduate degrees in Agricultural Communications & Journalism (AGCJ), Agricultural Education (AGED), and Agricultural Leadership (ALED), or the special instructional areas of Applied Youth Development (AYD) and International Agriculture Development (IDAG). The position carries a division of effort of 50% research, 40% teaching, and 10% service. The individual(s) in this position are expected to obtain federal, state, industrial, and/or foundation funding to support and sustain a vigorous research program.
Applicants should have an interest in interdisciplinary research with our departmental faculty, undergraduate and graduate education, and community-engaged outreach. We welcome applicants whose scholarship bridges research and practice in the social, behavioral, and lifes sciences of agriculture, in its breadth of variations, with a plan to move policy and lead reform. Candidate(s) selected will work closely within a Cluster for Community Engagement.
The Department of Agricultural Leadership, Education, and Communications is housed in the heart of the College of Agriculture and Life Sciences. The department is home to approximately 1,200 undergraduate students, 200 graduate students, and more than 30 faculty scholars from around the globe. The website provides extensive information about the work being conducted.
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of artificial intelligence in agricultural communication, education, and social systems. The successful candidate will contribute to methodological innovation and theory-building at the intersection of AI and social science, with applications in areas such as science communication, curriculum design, and public trust in food, agriculture, and One Health contexts.
Applicants should have a strong interest in interdisciplinary research that integrates departmental and college faculty, undergraduate and graduate students, and Texas communities. We welcome applicants whose scholarship bridges research and practice in one of the fields below.
- Digital Science Communications – Animation Agriculture
o Focused on the use of animation and immersive digital media to communicate agricultural science, technology, and policy to different audiences in agricultural communications.
- AI-Enabled Social and Behavioral Science in Agricultural Systems
o Focus on human-AI interaction in agriculture, including decision-making, behavior change, adoption, trust, and risk perception. Candidates might bring strengths in experimental design, causal inference, behavioral modeling, and survey or computational sciences
- Computational Methods for Agricultural Education
o Focus on NLP, machine learning, and learning analytics as they relate to communication and education. This includes AI-supported curriculum design and evaluation in agricultural education, as well as measurement of learning, engagement, and outcomes. This line would emphasize the societal implications of AI in agricultural and health-related systems.
- Immersive Simulation Developer for Community Leadership Development
o Develops and studies AI-enabled immersive simulations to enhance community leadership learning, decision making, and engagement in agriculture and life sciences.
- Advisory Application Development in Stakeholder Engagement
o Enhance extension engagement, stakeholder decision-making, and applied learning in agriculture
- AI, Ethics, and Trust in Food, Agriculture, and One Health Systems
o Focus on trust in AI-mediated information environments, including misinformation, transparency, and algorithmic accountability, as well as cross-cultural and multilingual communication. This line would emphasize the societal implications of AI in agricultural contexts.
- Agentic AI for Agricultural Leadership, Education, and Decision Systems
o Studies, designs, and evaluates autonomous and semi-autonomous AI systems that act, adapt, and collaborate with humans in agricultural leadership, education, communication, international development, and extension contexts.
