The Artificial Intelligence (AI) Institute (http://ai.sc.edu) is a new university-wide institute engaged in core AI research, as well as high-impact interdisciplinary research involving AI implementations and applications. It is an outcome of the university’s Presidential Excellence Initiative, which seeks to bring national prominence to our college and university through AI research and its economic impact. This institute is the newest strategic focus area for the College and comes on the heel of other strategic hiring initiatives that have resulted in the addition of 30 new tenured or tenure track faculty since August 2017. We seek multiple tenured and tenure-track faculty members at all ranks and in all core-AI subareas, including scholars in interdisciplinary fields at the intersection of AI with computational engineering disciplines.

• For core-AI: Applicant is required to possess a Ph.D. degree in computer science or a closely related field by the beginning date of employment and have a demonstrated superior record of research accomplishments.
• For interdisciplinary AI: Applicant is required to possess a Ph.D. degree in one of the areas/departments covered by the College by the beginning date of employment and have a demonstrated expertise and impact in AI implementations and applications.
• The successful applicant is expected to develop internationally-recognized, externally-funded research programs that: (1) broaden the institution’s strengths, (2) leverage exceptional interdisciplinary collaboration opportunities (the AI Institute has collaborations with other UofSC colleges, including public health, medicine, pharmacy, nursing, information and communication, education, and arts and science, and (3) align with vital college-level, cross-cutting research themes, including smart & connected communities, transformative computing, healthcare transformations, and agile manufacturing (for example, see http://bit.ly/AIInst).
• The successful applicant is expected to demonstrate evidence of commitment to diversity, equity, and inclusion through research, teaching, and/or service efforts.

Research areas of special interest include:

• Human in the loop or knowledge-enhanced AI, deep learning, natural language processing, question-answering/conversational AI, brain-inspired computing, semantic/cognitive/perceptual computing;
• AI and Big data - including social, sensor, biological, and health - and scalable computing/analysis of big data;
• AI and computer vision, robotics, cyber-physical systems, human-computer interaction including personal digital/assistive technology, autonomous vehicles, etc.

The faculty will have the appointment with the new AI Institute and will have a tenure and teaching home with the Department of Computer Science and Engineering or another department in the College of Engineering and Computing (http://cec.sc.edu/). For example, a core-AI position may have tenure-track or tenured appointment in the Department of Computer Science and Engineering. The departments generally offer B.S., M.S. and Ph.D. degrees as well as certificates on specialized topics in respective areas. CEC is ranked among top 100 engineering colleges in the nation, and has many NSF CAREER Award recipients (e.g., Computer Science & Engineering has 10 recipients). Teaching load is very attractive and appropriate for developing a robust research program. The AI Institute has exceptional computational infrastructure and resources. The first phase of a 20,000 sq. ft. space will be ready for Fall 2020. Contact Prof. Amit Sheth (amit@sc.edu) for more information. Review of applications will begin November 1, 2019 and continue until positions are filled. Expected start date January 1, 2020 or later. Interested applicants must apply online at http://uscjobs.sc.edu/postings/67450 with a: (1) letter of intent, (2) curriculum vitae, (3) concise description of research plans, (4) teaching plan, and (5) names and contact information of 3 references for a junior faculty rank and 5 references for a senior faculty rank (references can be contacted later in the process for a senior position). The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions. Posted on ACM jobs board.