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    Computer Science Full-Time Faculty - Columbia, SC, United States - University of South Carolina

    University of South Carolina
    University of South Carolina Columbia, SC, United States

    2 weeks ago

    Default job background
    Full time
    Description
    Faculty Fellow
    University of South Carolina

    Department:
    CEC Integrated Information Technology

    Advertised Salary Range:
    Commensurate with Education and Experience

    Part/Full Time:
    Full Time
    Diversity Statement

    As part of the new Bridge to Faculty Program at the University of South Carolina, the Department of Integrated Information Technology (IIT) seeks a faculty fellow in the field of Information Technology to begin in Fall 2024.

    Areas of interest include networking, cybersecurity, software development, database management, mobile technologies, informatics, data analytics, artificial intelligence (AI) and machine learning, human computer interaction, cloud computing, virtualization, web development, enterprise systems, internet-of-things (IoT), IT project management, health information technology, and digital transformation.

    In keeping with the University's commitment to "cultivating a more diverse, equitable, and inclusive campus where every individual has the opportunity to flourish and thrive," the Bridge to Faculty Program is designed to attract and retain promising scholars to the University of South Carolina with an emphasis on outreach to underrepresented early-career scholars.

    Specifically, the program seeks to recruit early-career scholars who, if successful during the program, will have the opportunity to transition to a tenure-track faculty appointment at USC at the start of the academic year.

    As a member of the 2nd cohort of Bridge to Faculty Fellows from across the university, the Fellow will have a home in the IIT Department alongside a dynamic group of scholars.

    With the additional support of USC's Office of Access and Opportunity and Provost's Office, Faculty Fellows will have access to institutional resources designed to support their readiness for a tenure-track position.


    The Faculty Fellow will be expected to:
    (1) develop a robust program of research in information technology (2) meet regularly with faculty mentors; (3) participate in professional development opportunities; and (4) participate in the intellectual life of the IIT Department and the University. The Fellow will also have the option to teach one class in the second year.
    This is a 12-month research faculty appointment.

    Upon demonstration of academic productivity, it will be renewed for a second year, and with evidence of continued productivity, it can be converted to a tenure-track faculty position in the third year.

    Salary is competitive, and the position includes a generous benefits package with access to medical, vision, dental, and life insurance.

    Applicants must have a PhD in information technology, information systems, health informatics, or related field completed between July 1, 2019, and the start date of employment (ABDs considered).

    We welcome and encourage applications from scholars who contribute to increasing diversity in their fields, as historically underrepresented persons in higher education, and/or by pursing scholarship that deepens understanding of diversity, equity, and inclusion issues within the field.

    Applicants must apply online at USCJobs at .


    Applications should include:

    a cover letter; a writing sample (25 pages maximum); If the candidate has not yet defended their dissertation, the letter from the dissertation director should confirm that the PhD will be completed by August 15, If you have any questions about the position or the application process, please contact Dr.

    Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

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

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