Adjunct - Engineering Data Science - (FAC002356)
- Employer
- University of Houston
- Location
- Houston, Texas, United States
- Salary
- Competitive Salary
- Date posted
- May 26, 2022
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- Position Type
- Faculty Positions, Science, Technology & Mathematics, Biotechnology & Bioengineering, Computer Sciences & Technology, Engineering, Other Science & Technology, Statistics
- Employment Level
- Adjunct
- Employment Type
- Full Time
The Department of Mechanical Engineering at the University of Houston invites applications for a part-time Adjunct 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.
- Probability and Statistics
- Machine Learning
- Digital image processing
- Big Data Analytics
- Artificial intelligence
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. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression.
Qualifications :
Applicants must have earned a PhD in a relevant area of physical sciences or engineering with research or work experience in the field of data science.
Notes to Applicant: Official transcripts are required for a faculty appointment and will be requested upon the selection of the final candidate. All positions at the university are security sensitive and will require a criminal history check.
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