Job ID: 133503

Assistant, Associate or Full Professor, Artificial Intelligence and/or Machine Learning

University of Connecticut

  • Nov. 13, 2019
  • Assistant, Associate or Full Professor, Artificial Intelligence and/or Machine Learning
  • Computer Science & Engineering
  • University of Connecticut
    Storrs, CT
  • Open until Filled
  • Aug. 23, 2020
  • Assistant Professor
    Associate Professor
  • Computer Engineering
    Computer Science
    Engineering - Other

The Department of Computer Science and Engineering (CSE) at the University of Connecticut has an exciting opportunity to expand the faculty in exciting new directions. This year, the department invites applications for multiple tenured and/or tenure-track faculty positions, at the rank of Assistant, Associate, or Full Professor, specializing in Artificial Intelligence and/or Machine Learning. Junior candidates with demonstrable potential as well as senior applicants with a distinguished record of achievement, evidenced by leadership in their field of expertise and significant extramural funding, will be considered in all areas related to Artificial Intelligence and/or Machine Learning. Exceptional candidates in other areas of Computer Science and Engineering are also encouraged to apply.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (, the $1B Bioscience Connecticut ( investments, and a bold new Academic Plan: Path to Excellence ( As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past five years. We are pleased to continue these investments by inviting applications for new positions in Artificial Intelligence and/or Machine Learning. The Department of Computer Science & Engineering harbors a rich environment of instruction and research, offering three rigorous degrees (B.S., M.S., and Ph.D.) in the computing sciences and a world-class research enterprise. Additional information about the department can be found at

Successful candidates will be expected to develop and sustain an internationally-recognized and externally-funded research program in Computer Science with specialization in the fields of Artificial Intelligence and/or Machine Learning. Successful candidates must share a deep commitment to effective instruction in Computer Science at the undergraduate and graduate levels as well as development of innovative courses and mentoring of students in research, outreach, and professional development. Successful candidates are also expected to broaden participation among members of under-represented groups; demonstrate through their teaching, research, and/or public engagement the richness of diversity in the learning experience; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.


Candidates must have an earned Ph.D. in Computer Science or a related field by the time of appointment; an established record of research in computing sciences; demonstrated potential for excellence in teaching; and a commitment to promoting diversity through their academic and research programs. Candidates must also demonstrate a commitment to graduate education. Equivalent foreign degrees are acceptable.


Preferred candidates will possess an outstanding record of scholarship and research contributions in Computer Science; a record of excellence in teaching; the ability to effectively communicate with students in both large and small audiences, and a record of public engagement; specialty in Artificial Intelligence and/or Machine Learning.


This is a full-time, 9-month tenure-track position. Employment is conditional upon the timely completion of an approved I-9 (Employment Eligibility Verification Form). Candidates are expected to begin work on August 23, 2020. Rank and salary will be commensurate with qualifications.


Select "Apply Now" to be redirected to Academic Jobs Online to complete your application. Please submit the following: cover letter, curriculum vitae, research and scholarship statement; teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); and sample articles or books. Additionally, please follow the instructions in Academic Jobs Online to direct three reference writers to submit letters of reference on your behalf. Screening of applicants will begin immediately and continue until the positions are filled.

Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2020284)

This position will be filled subject to budgetary approval.

All employees are subject to adherence to the State Code of Ethics, which may be found at

  • The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

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Contact Information

  • Lara Chiaverini
    Computer Science & Engineering
    University of Connecticut
    371 Fairfield Way
    Unit 4155
    Storrs, CT 06269
  • 860-486-0045
  • 860-486-4817

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