Lecturer - Engineering Data Science

University of Houston • Houston, TX

347d

About The Position

The Department of Mechanical Engineering at the University of Houston invites applications for a part-time Lecturer position focused on teaching graduate-level courses in data sciences, 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. The candidate will be expected to teach one or two courses in a semester. Interest and expertise in teaching courses such as the following is desirable: Introduction to Data Science, Machine Learning, Data Mining, Artificial Intelligence, Cloud Computing. 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.

Requirements

• Earned a PhD in a relevant area of physical sciences or engineering.
• Research or work experience in the field of data science.
• Official transcripts required for faculty appointment.

Nice To Haves

• Interest and expertise in teaching courses such as Introduction to Data Science, Machine Learning, Data Mining, Artificial Intelligence, and Cloud Computing.

Responsibilities

• Teach graduate-level courses in data sciences, artificial intelligence, and machine learning.
• Develop course materials and assessments for graduate courses.
• Engage with students and provide academic support.
• Stay updated with advancements in data science and related fields.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees