The Cullen College of Engineering at the University of Houston needs to expand and advance the quality of its engineering research programs by offering state-of-the-art training for a data-centric workforce through its Master's and Certificate program in Engineering Data Science and AI. There is a growing demand for graduates with data science and AI backgrounds across various industries, and Houston specifically sees a persistent demand for such expertise.
Requirements
- Ph.D. in a relevant area of physical sciences or engineering with research or work experience in the field of data science.
Responsibilities
- teach graduate-level courses in data science, artificial intelligence and machine learning
- teaching courses such as the following are desirable: Probability and Statistics
- Machine Learning
- Digital image processing
- Big Data Analytics
- Artificial intelligence
- Data Mining
Other
- teaching three courses relevant to the Engineering Data Science program per semester
- contributing to service and administrative tasks as required in the program
- Curriculum Vitae
- Cover Letter/Letter of Application
- Teaching Philosophy or Statement
