Job DescriptionAs part of a multiyear effort to grow world-class data science and data-enabled research across the University of Oklahoma (OU), the School of Computer Science in the Gallogly College of Engineering (GCoE) seeks a postdoctoral scholar in the area of trustable artificial intelligence (AI).
Human-guided, science-based, explainable AI is key to ensuring AI is understandable, reliable, and robust for real-world applications. This postdoc, with a primary home in the School of Computer Science, will grow our expertise in one of the most rapidly developing and vital fields of computer and data science, and may collaborate with people in Electrical and Computer Engineering, Psychology, Industrial and Systems Engineering, and many other areas. We seek a postdoc with expertise in one or more of science-based AI or machine learning (ML), human-guided AI/ML, explainable AI/ML, and closely related areas. This postdoc will be a vital core team member in data science, AI, and data-driven convergent research solutions to global challenges, and will provide vital capabilities to empower research in OU's strategic verticals (https://www.ou.edu/research-norman/centers-institutes/strategic-vertical-institutes) and grow the data science ecosystem on campus to create the critical mass in data science needed for the university's strategic plan Lead On, University (https://www.ou.edu/leadon).
We welcome applications from candidates whose experiences and interests have prepared them to be an integral contributor of our academic community, which is engaged in scientific discovery, developing talent, solving global challenges, and serving our society. This postdoctoral scholar in trustable AI will join our large and growing team focusing on AI and data science foundational and enabling technologies. OU is committed to creating world-class capabilities in data science, AI/ML, and data-enabled research.
Since 2014, the School of Computer Science has teamed with the School of Industrial and Systems Engineering in area of data science and analytics (DSA), and offers MS and PhD degrees in DSA, as well as undergraduate and graduate DSA certificates, and engages local and global industries in DSA research, development, and training through GCoE's Data Science and Analytics Institute (https://www.ou.edu/coe/dsai).
In 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 School of Computer Science (https://www.ou.edu/coe/cs) is growing rapidly and strategically. Our faculty has nearly doubled in size during the past six years, including the addition of 11 talented new faculty in the last four years alone, thanks to deep institutional support. With a new, recurring, $7M annual commitment from the State of Oklahoma to GCoE, we expect growth at this rate or higher for the next six years. Our research expenditures have grown from $1.4M to $6.3M in the last 3 years, and with $9M in new awards in FY23, continued explosive growth is expected. Research strengths of the School include AI/ML, cybersecurity, visualization, and networking.
The University of Oklahoma (https://www.ou.edu/) 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 2,700 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 https://ou.edu/about and https://www.ou.edu/facultyrecruitment for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region's growing appeal.
Preferred and Required QualificationsRequired
Education: Ph.D. in computer science, engineering, or related discipline.
Skills: Successful candidates must have interest and ability to contribute significantly to the fields of trustable AI, human-guided AI, and/or explainable AI.
Supervision: Dr. Beiyu Lin
Salary: Based on the applicants' experience.
Work Schedule (full time/part time/M-F 8-5): Full time
Application Details (to apply use the Apply Now button below.)Applicants must 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) statement of interest regarding research. The research statement should summarize prior contributions to research and goals during this postdoctoral appointment at OU.
Application DeadlineMay 03, 2024
