Lecturer - Engineering Data Science

The Cullen College of Engineering at the University of Houston invites applications for a full-time lecturer position to teach graduate-level courses in data science, artificial intelligence and machine learning as part of the Master’s and Certificate program in Engineering Data Science offered by the Cullen College of Engineering. Interest and expertise in teaching courses such as the following are desirable.

• Probability and Statistics
• Machine Learning
• Digital image processing
• Big Data Analytics
• Artificial intelligence
• Data Mining

This is a full-time, benefits-eligible, non-tenure-track position. Appointments are made on an annual 9-month basis and salary is commensurate with experience.  

The responsibilities include (1) teaching three courses relevant to the Engineering Data Science program per semester, (2) contributing to service and administrative tasks as required in the program. 

Engineering Data Science is a broad field that encompasses predictive modeling and data-driven design of engineering systems. The demand for graduates with a data science background is already high and is growing rapidly across a wide range of industries worldwide. Houston, being the energy capital of the world as well as the home of a thriving healthcare industry, is also seeing a persistent demand for workforce well-trained in data science. To provide state-of-the-art training for a data-centric workforce, the Cullen College of Engineering offers a Master of Science in Engineering Data Science. A post-graduate Certificate in Engineering Data Science is also offered to cater to working professionals interested in developing expertise in data science. For more information about the programs, please visit:

https://researchcomputing.egr.uh.edu/academic-programs/master-science-engineering-data-science

As part of a major drive for excellence, including the designation of UH as a Carnegie Tier One Research university, the Cullen College of Engineering has a strong commitment to expand, as well as, advance the quality of our engineering research programs. UH is Texas’ premier public metropolitan research and teaching institution with more than 40,000 students. Houston is home to the Texas Medical Center, the largest medical center in the world, the NASA Johnson Space Center, and multiple high-tech companies offering excellent local collaboration opportunities.

The University of Houston is an Equal Opportunity/Affirmative Action institution and recognizes protected classes of race, color, sex (including pregnancy), genetic information, religion, age (40 and above), national origin, disability, veteran status, sexual orientation, gender identity or status, and gender expression as required by federal law. Veterans and persons with disabilities are encouraged to apply.

Applicants must have an earned Ph.D. in a relevant area of physical sciences or engineering with research or work experience in the field of data science.