Open Rank, Tenure Track - Computer Science and Engineering

Job description

Posting Details

Posting Summary

LogoPosting NumberFAC00132PO19Advertised TitleOpen Rank, Tenure Track - Computer Science and EngineeringCampusColumbiaCollege/DivisionCollege of Engineering and ComputingDepartmentCEC Computer Science and EngineeringAdvertised Salary RangeCommensurate with experienceLocation of VacancyPart/Full TimeFull TimeHours per Week37.5Position CategoryFull-time Equivalent (FTE)Basis 9 monthsWork CountyRichlandTenure InformationTenure-Track/TenuredJob Search CategoryFaculty About UofSC

The University of South Carolina System is comprised of the state's flagship university in Columbia (founded in 1801 and currently one of the top 50 "Best Colleges" according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University). Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state's educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.

Benefits for FTE Positions

The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers state employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the benefits section on the Applicant Portal.

Position Description

Advertised Job Summary

The University of South Carolina invites applications for 5 tenure-track faculty positions at open rank in the Department of Computer Science and Engineering ( starting Spring 2019. The Artificial Intelligence (AI) Institute ( 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.

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 ( 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 ([email protected]) for more information.

Required Education and Experience

For core-AI: Applicants are 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: Applicants are 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.

Preferred Qualifications

The successful applicants are 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

The successful applicants are 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.

For details on these initiatives, please visit: Posting Detail Information

Desired Start Date01/01/2020Job Open Date09/19/2019Job Close DateOpen Until FilledYesSpecial Instructions to Applicant

Review of applications will begin on November 1, 2019 and continue until this position is filled. Expected start date is January 1, 2020. Interested applicants will apply to this posting with: (1) a letter of intent, (2) curriculum vitae, (3) a concise description of research plans, (4) a teaching plan, and (5) names & contact information of 3-5 references.

Questions may be directed to:
Department of Computer Science and Engineering
Dr. Amit Sheth, Professor and Faculty Search Committee Chair
[email protected](803) 777-1910

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

Quicklink for Posting Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, color, religion, national origin, sex, sexual orientation, gender, age, disability, veteran status or genetics.

Supplemental Questions

Required fields are indicated with an asterisk (*).

    Applicant DocumentsRequired Documents
    1. Cover Letter
    2. Curriculum Vitae
    3. Research Portfolio
    4. Teaching Portfolio
    5. List of References and Contact Information
    Optional Documents
    1. Other Supporting Documents




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    Job No:
    Posted: 9/20/2019
    Application Due: 1/16/2020
    Work Type: