This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Assistant Professor of Petroleum Engineering (Artificial Intelligence)
Texas A&M International University, a member of The Texas A&M University System, welcomes applicants for the position of Assistant Professor of Petroleum Engineering (Artificial Intelligence) to begin Fall 2027.
TAMIU is a Hispanic-Serving Institution with over 8,000 students, located in Laredo, Texas, a vibrant and bicultural city with a population of about 250,000. The University advances knowledge through research and discovery, teaching and learning, community engagement, and public service, with an intentional focus on student success and research excellence.
This is a tenure-track, nine-month Assistant Professor of Petroleum Engineering position. A reduced teaching load supports research development. Primary duties will include establishing an independent, externally funded research program at the intersection of artificial intelligence and petroleum engineering; contributing to the BS in Petroleum Engineering by designing and teaching AI-related petroleum engineering coursework; and mentoring student research and senior design projects. The successful candidate will also contribute to the AI-themed MS in Systems Engineering. Duties also include teaching Petroleum Engineering and engineering courses as needed; supporting recruitment, accreditation, curriculum development, and School service; and collaborating with academic, industry, and government partners on interdisciplinary research. This position requires face-to-face interactions through a regular schedule of attendance on campus and in the workplace.
The School of Engineering offers ABET-accredited programs in Systems, Computer, and Petroleum Engineering. Its BS in Computer Science and MS in Systems Engineering launched in 2026, and its BS in Civil Engineering launches in 2027. This position will expand Petroleum Engineering faculty capacity to meet significant enrollment growth. This position is part of a strategic faculty expansion in the School of Engineering to hire 10 permanent faculty members, eight tenure-track and two instructional, beginning Fall 2027.
Required Qualifications
The successful candidate must hold a Ph.D. in Petroleum Engineering or a closely related discipline by the appointment start date. Applicants nearing completion may be considered if the degree is awarded before appointment. Candidates must demonstrate expertise at the intersection of artificial intelligence and petroleum engineering through research, scholarship, professional experience, or a combination thereof; be able to design and teach AI-related petroleum engineering coursework; mentor student research; and establish an independent research program in this area. Areas of particular interest include emerging applications of artificial intelligence in petroleum engineering, such as physics-informed AI and hybrid modeling; digital twins; generative AI; AI-enabled reservoir, drilling, or production optimization; and intelligent and autonomous systems. Experience or demonstrated ability to pursue externally funded research and collaborate with industry is especially desirable.
We offer competitive salaries and a benefits package including health insurance, retirement benefits, and life insurance. Additional pay is available for summer teaching. Financial support for professional development opportunities, such as attending academic conferences, is also provided. Moving expenses are covered in whole or in part by the University.
Application Process
A letter of interest or cover letter that addresses the candidate's qualifications for the position.
Current curriculum vitae.
Unofficial transcripts documenting the conferred degree or progress toward completion of the required doctorate.
Names and contact information of three current professional references.
Statement of research interests, experience, and future plans.
Statement of teaching experience and philosophy.
Applications must be submitted online at Review of applications will begin on October 31, 2026, and continue until the position is filled.
Worksite address
laredo, TX, 78045, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.