Tenure-Track Assistant Professor Sustainable Food and Agricultural Systems Engineer

The Department of Biological and Agricultural Engineering College of Agriculture and Life Sciences at Texas A&M University invites applications for one full-time tenure-track faculty position with a 9-month academic appointment beginning August 1 2026. Applicants will be considered for the faculty title of Assistant Professor in Sustainable Food and Agricultural Systems. The breakdown of effort for this position is: 45% Research 45% Teaching and 10% Service.

The successful candidate will establish an integrated teaching and research program of international recognition focused on one or more of (but not limited to) the following areas: development of reliable robust sustainable food and agricultural supply chains to address food security food/water/energy waste and loss; applications of data analytics and big data tools for food security and smart agricultural systems engineering for food energy environment and health systems.

The candidate will leverage cutting-edge data-driven approaches and technologies including applications of artificial intelligence (AI) to agricultural systems sustainability. Additionally the candidate will direct graduate research establish a strong publication record and attract competitive extramural funding. Teaching responsibilities will include undergraduate and graduate courses in biological and agricultural engineering and agricultural systems management on subject matter appropriate to the individuals addition the incumbent will advise both undergraduate and graduate students. Participation in professional development activities and an appropriate level of service to the department institution and/or profession is expected.

• Applicants must possess a Ph.D. in Biological and Agricultural Engineering or a closely related field. Candidates who have completed all Ph.D requirements except the dissertation (ABD) will be considered provided they demostrate clear progress toward completion. Preference will be given to candidates with demonstrated experience or potential for developing research and teaching programs with expertise in one or more of the following areas of research: production and supply chain water-energy-food nexus LCA and circularity big-data analysis machine learning deep learning AI tools smart agriculture and circular bioeconomies.
• Successful candidates are expected to have effective verbal and written skills an ability to work both independently and in multi-disciplinary teams and a willingness to advise and mentor students.
• Applicants must be licensed or be eligible to obtain a license as a Professional Engineer at the time of appointment.