Kaiser Permanente - Washington Permanente Medical Group
Olympia, Washington
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Instructional Assistant Professor - Computer Science
University of Houston
Application
Details
Posted: 11-Mar-26
Location: Houston, Texas
Type: Full-time
Internal Number: 495703
Department: Computer Science
Salary: Commensurate with experience
Description:
The Department of Computer Science at the University of Houston invites applications for a non-tenure track Instructional Assistant Professor position to begin Fall 2026. Responsibilities include coordinating and teaching undergraduate lecture and laboratory courses in Computer Science along with engagement in curricular and instructional innovation, scholarship of teaching, student recruitment, advising and service. This is a 9-month, non-tenure track appointment with an opportunity for renewal and promotion.
Located in Houston, the fourth largest city in the United States, UH is a Carnegie Tier One public research university that is located on a park-like campus a few minutes from the Houston city center. The university has embarked on an exciting period of research growth, a rising reputation, and committed leadership. The city of Houston has world-class theaters, museums, restaurants, and thrilling sports teams. It offers affordable housing and enjoys a low cost of living. The university is close to the Texas Medical Center, the largest in the world, a large industrial base, and NASA.
The Department of Computer Science is home to a dynamic and interdisciplinary group of 30+ full-time faculty members and over 2000+ students across its BS, MS, and PhD programs. The department is committed to offering a stimulating program with strong emphasis on high quality, state of the art education and research in the multi-faceted and cosmopolitan environment that the University of Houston and the city of Houston provide.
Successful applicants will have 5 or more years of teaching experience and demonstrate an ability to successfully teach undergraduate and graduate courses in the following areas: foundations of computer systems, fundamentals of computer vision, machine learning, and statistical methods in image and data analysis with applications in human behavior analysis, person re-identification, video analytics, computer vision, pattern recognition, and digital image processing.
Applicants must hold a Ph.D. in a relevant computer science discipline and should demonstrate strong academic training, a deep passion and commitment to undergraduate education and evidence-based pedagogy, and a willingness to contribute to student success initiatives and curriculum development in Computer Science.
Applicants should submit a brief cover letter, curriculum vitae, contact information for three professional references, and a one-page statement of teaching interests and philosophy.
Review of applications will begin immediately and continue until the position is filled. Prospective applicants are welcome to direct inquiries to Dr. Guoning Chen, Associate Chair and Professor at gchen22@central.uh.edu.
Official transcripts are required for a faculty appointment and will be requested upon selection of the final candidate.
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.
The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.
Founded in 1927, the University of Houston is the leading public research university in the vibrant international city of Houston. Each year, we educate more than 48,972 students in more than 300 undergraduate and graduate academic programs, on campus and online. UH awards more than 11,000 degrees annually, with more than 300,000 alumni. UH is a Carnegie-designated Tier One public research university.