The Wm. Michael Barnes ’64 Department of Industrial and Systems Engineering (ISEN) in the College of Engineering at Texas A&M University invites applications for two full-time tenured or tenure-track faculty position in Data Engineering. Applicants will be considered for the faculty titles of Assistant Professor or Associate Professor depending on qualifications and credentials. This hire supports the department’s strategic investment in its recently launched Bachelor of Science in Data Engineering, a program designed to prepare students to design, build, and operate the data infrastructure that underpins modern data-driven organizations.
The ISEN department comprises 31 tenured and tenure-track faculty and 17 teaching-focused faculty, many of whom hold distinguished national and international honors, including the Frank and Lillian Gilbreth Industrial Engineering Award, the Albert G. Holzman Distinguished Educator Award, Fellow status in IISE, HFES, SME, ASME, and ASEE, and service leadership roles such as Editors-in-Chief of major journals. The department’s education and research thrusts span four thematic areas, namely, Advanced Manufacturing, Data Science, Human Factors and Ergonomics, and Operations Research.
The successful candidate will play a substantive role in teaching and curricular development for the Bachelor of Science in Data Engineering. Responsibilities also include advising and mentoring graduate students, developing an independent, externally funded research program, participating actively in departmental governance and service, and contributing to the broader profession.
The candidate’s research program may be in any ISEN thematic area that is synergistic with Data Engineering, including—but not limited to—industrial data infrastructure and pipelines, distributed and cloud computing, cyber-physical systems, real-time, multi-modal and streaming data systems, data governance and security, and data quality engineering, as well as their applications in engineering and industrial contexts. Research in artificial intelligence, machine learning, large language models, and foundation models is especially welcome when grounded in the engineering, operation, and governance of the data infrastructure that enables these technologies at scale.
This is a 9-month academic appointment, with the possibility of additional summer support contingent upon need and availability of funds. The anticipated start date is Fall 2026.