Job ID: 133491

Lecturer or Assistant/Associate Professor in Residence

University of Connecticut

  • Nov. 13, 2019
  • Lecturer or Assistant/Associate Professor in Residence
  • Computer Science & Engineering
  • University of Connecticut
    Storrs, CT
  • Open until Filled
  • 1/1/20 or 8/23/20
  • Lecturer/Instructor
    Assistant Professor
    Associate Professor
  • Computer Engineering
    Computer Science
    Engineering - Other

The Department of Computer Science and Engineering at the University of Connecticut invites applications for a non-tenure track position of Lecturer, or Assistant/Associate Professor-in-Residence at the Stamford campus. The successful candidate will primarily contribute to the department’s teaching program.

This position is for the new and dynamic program in computer science on the Stamford campus. It is specifically geared to Stamford and Fairfield County. This area has one of the world’s highest standards of living as well as a strong industrial base. There are opportunities for curricular design and engagement with regional industry. A successful hire will have significant opportunities to help shape the program. We expect to develop several concentration areas complementing the main department in Storrs. Our initial focus areas is mobile systems development.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the
$1.7B Next Generation Connecticut ( and 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 three years. We are pleased to continue these investments by inviting applications for a faculty position in the Computer Science & Engineering department.

The Department of Computer Science and Engineering harbors a rich environment of instruction and research, offering three rigorous degrees in the computing sciences and a world-class research enterprise. Additional information about the Department can be found at

The successful candidate will share a deep commitment to effective instruction at the undergraduate level, development of innovative courses and mentoring of students in research, outreach and professional development. The successful candidate will also be expected to broaden participation among members of under-represented groups; demonstrate through their teaching, possible research, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

Minimum Qualifications: Candidates at the Lecturer level must have an earned Master’s degree in computing sciences or related field. At the Assistant or Associate Professor in Residence level, candidates must have an earned Ph.D. in computing sciences or related field by the time of appointment; Candidates for Lecturer and Assistant Professor in Residence must have a proven record of potential in teaching; candidates for Associate Professor in Residence must have a proven record of excellence in teaching computer science. Candidates at either level must have a deep commitment to promoting diversity through their academic and research programs.

Preferred Qualifications: Expertise in several areas of computer science and outstanding record of teaching and scholarship; commitment to effective teaching and use of innovative techniques; the ability to effectively communicate with students in both large and small audiences; the ability to contribute through research, teaching, and/or public engagement to the diversity and excellence of the learning experience.

Appointment Terms: This is a full-time, 9-month, annually renewable non-tenure track position with the possibility of subsequent annual academic-year reappointment, contingent on positive reviews and program funding, and may lead to a multi-year appointment. Employment is conditional upon the timely completion of an approved I-9 (Employment Eligibility Verification Form). Candidates must be able to begin work on January 1, 2020 for Spring semester or August 23, 2020 for Fall semester start.

This position will be filled subject to budgetary approval.
To Apply: Select "Apply Now" to be redirected to Academic Jobs Online to complete your application. Please submit the following: a cover letter, curriculum vitae, teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of students, 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.); 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 position is filled. Employment of the successful candidates will be contingent upon the successful completion of a pre-employment criminal background check.

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.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

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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