Adjunct Faculty - Artificial Intelligence for Petroleum Engineering - (496329 )

The Chronicle Of Higher Education, Inc.; Houston (TX); On-site; USD 30,000 - 60,000; Part time

Job summary

The Chronicle Of Higher Education, Inc. seeks a part-time Adjunct Faculty for Petroleum Engineering to co-teach a graduate course in Artificial Intelligence for the upcoming Fall semester. Candidates should have a Ph.D. in a relevant field and ideally some industry experience in applying AI to engineering problems.

This position is temporary, with appointments on a semester basis, aiming to maintain academic excellence and foster innovation in teaching methodologies.

Qualifications

• Ph.D. in Artificial Intelligence, Data Analytics, Computer Science, or closely related field preferred.
• Industry experience in oil and gas with AI applications highly desirable.
• Experience in teaching, research, or community service relevant to AI in Petroleum Engineering.

Responsibilities

• Co-teach a graduate-level course in AI for Petroleum Engineering.
• Contribute to academic excellence in the Petroleum Engineering department.

Skills

Artificial Intelligence

Industry experience in oil and gas

Data Analytics

Computer Science

Education

Ph.D. in AI or related field

Job description

Department

Petroleum Engineering

Salary

Commensurate with experience

Description

The Department of Petroleum Engineering in the Cullen College of Engineering at the University of Houston is a dynamic, growing organization that offers a broad range of undergraduate and graduate courses.

The Department of Petroleum Engineering anticipates an opening for a temporary, part-time Adjunct Faculty position for the upcoming Fall semester in the area of Artificial Intelligence. The successful candidate will co‑teach (50% effort) a graduate-level course in Artificial Intelligence for Petroleum Engineering in collaboration with another Adjunct Faculty member in the department.

A Ph.D. in Artificial Intelligence, Data Analytics, Computer Science, or a closely related field is preferred. Industry experience in the oil and gas sector, particularly in the application of AI to engineering problems, is highly desirable.

Adjunct faculty appointments are offered on a semester‑by‑semester basis and may be renewed contingent upon institutional needs and demonstrated satisfactory performance.

We welcome candidates whose experience in teaching, research, or community service has prepared them to contribute to our commitment to academic excellence.

Required Attachments

• Unofficial Transcripts
• Curriculum Vitae
• Short Statement outlining previous/current teaching/research experience related to applications of AI to Petroleum Engineering discipline.

Official transcripts are required for a faculty appointment and will be requested upon selection of the final candidate.

Security and Eligibility

All positions at the University of Houston‑System are security-sensitive and will require a criminal history check. Individuals conducting research in critical infrastructure areas (i.e., communication infrastructure systems, cybersecurity systems, electric grid, hazardous waste treatment systems, and/or water treatment facilities) are subject to regular review to ensure the security and integrity of the research is maintained.

Employees are expected to have a home address in the state of Texas for the duration of their appointments.

Equal Opportunity

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.