Oct 12, 2022

Gallogly College of Engineering, Department of Electrical and Computer Engineering and/or Department of Computer Science, is seeking an Assistant Professor in Trustable AI. Human-guided, science-based, explainable AI (xAI) are key areas to ensure AI is understandable, reliable, and robust for real-world applications. This faculty member will grow our expertise in one of the most rapidly developing and vital fields of data science, with a primary home in ECE and potentially joint appointments in CS, Psychology, and ISE. We seek a faculty member with expertise in one or more of science-based AI or machine learning (ML), human-guided AI/ML, explainable AI/ML, and closely related topics.  This faculty member will be a vital core team member in data science, AI, and data-driven convergent research solutions to global challenges. This faculty member will provide vital capabilities that will empower research in all four strategic verticals and grow the data science ecosystem on campus to create the critical mass in data science needed for the success of the university’s strategic plan, Lead On, University.

Anticipated Total Salary: $100,000-$125,000 depending on experience

As part of a multiyear effort to grow world-class data science and data-enabled research across The University of Oklahoma (OU), the Gallogly College of Engineering (GCoE) in partnership with the Dodge Family College of Arts and Sciences (CAS), welcomes applications for a cluster of three (3) faculty positions from candidates whose experiences and interests have prepared them to be an integral contributor to the engaged in scientific discovery, developing talent, solving global challenges, and serving our society. This position is an Assistant Professor in Trustable Artificial Intelligence (AI); the other two positions are an Assistant Professor in Artificial Intelligence (AI) Architectures, and a Tenured Associate or Full Professor in Human-Computer Teaming and Interactive Decision Making. This year, we are focusing on data science foundational and enabling technologies. In subsequent years, we’ll be hiring additional data science and data-enabled research faculty.

The University, as part of its Lead On strategic plan has committed to creating world-class capabilities in data science, artificial intelligence (AI), machine learning (ML), and data-enabled research. In July 2020, the University established the Data Institute for Societal Challenges (DISC) to grow convergent data-enabled research to solve global challenges. DISC currently has over 50 faculty members across OU campuses, seven communities of practice, seed funding programs, and an extended network of approximately 250 data scientists and data-enabled researchers across many disciplines (https://www.ou.edu/disc ).

The University of Oklahoma: OU is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic and healthcare needs of the state, region, and nation from three campuses: Norman, Health Sciences Center in Oklahoma City and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2700 full-time faculty members in 21 colleges. 

Norman is a vibrant university town of around 113,000 inhabitants with a growing entertainment and art scene. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on “best place to live” rankings. Visit http://www.ou.edu/flipbook and http://soonerway.ou.edu for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region’s growing appeal.

Required:

• PhD in engineering or related discipline.
• Interest/Experience teaching at both the undergraduate and graduate levels.
• Ability to supervise graduate students and postdoctoral fellows.

Successful candidates must have the interest and ability to contribute significantly to the fields of trustable AI human-guided AI, and/or explainable AI, and develop a nationally recognized program of sponsored research.

Candidates are invited to submit a letter of interest, names of three references who will be contacted only upon approval from the applicant, curriculum vitae, and brief (~2-3 pages) statements of interest regarding 1) research, 2) teaching, and 3) service.

The research statement should summarize your prior contributions to research and your goals for developing a research program at OU.

The teaching statement should summarize past instructional and mentorship experiences, and plans/goals for teaching at OU (including existing and proposed courses) and advising undergraduate and graduate students from a broad range of backgrounds and experiences and preparation.

The service statement should describe your vision for internal service to the academic unit, the College and the University, and for external service to our scientific community and other stakeholders.

Candidates are requested to submit their applications at http://apply.interfolio.com/112372  and all application information and inquiries should be directed to the search committee chair:

Contact Person and Application Review Date
The search committee will begin reviewing applications on October 1, 2022.

Inquiries should be directed to the search committee chair: 

Dr. David S. Ebert, Gallogly Chair Professor
School of Electrical and Computer Engineering and School of Computer Science
Associate Vice President of Research and Partnerships
Director, Data institute for Societal Challenges 
University of Oklahoma
Email: ebert@ou.edu