The Department of Computer Science & Engineering at the University of Connecticut invites applications for two (2) non-tenure track positions at the rank of Assistant or Associate Professor-in-Residence at the Storrs campus. The successful candidate will primarily contribute to the Department’s teaching program.
The Department of Computer Science & 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 http://www.cse.uconn.edu/.
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.
Founded in 1881, UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher education and includes a main campus in Storrs, CT, four regional campuses throughout the state, and 13 Schools and Colleges, including a Law School in Hartford, and Medical and Dental Schools at the UConn Health campus in Farmington. The University has approximately 10,000 faculty and staff and 32,000 students, including nearly 24,000 undergraduates and over 8,000 graduate and professional students. UConn is a Carnegie Foundation R1 (highest research activity) institution, among the top 25 public universities in the nation. Through research, teaching, service, and outreach, UConn embraces diversity and cultivates leadership, integrity, and engaged citizenship in its students, faculty, staff, and alumni. UConn promotes the health and well-being of citizens by enhancing the social, economic, cultural, and natural environments of the state and beyond. The University serves as a beacon of academic and research excellence as well as a center for innovation and social service to communities. UConn is a leader in many scholarly, research, and innovation areas. Today, the path forward includes exciting opportunities and notable challenges. Record numbers of undergraduate applications and support for student success have enabled the University to become extraordinarily selective.
- Earned a Ph.D. in computing sciences or related field by the time of appointment.
- Proven record of potential in teaching.
- Proven record of excellence in teaching computer science.
- Demonstrated commitment to promoting diversity and enhancing inclusion as proven through their academic and research programs.
- Expertise in several areas of computer science such as introduction to programming, data-structures and algorithms, basic cyber-security, architecture, and/or system programming.
- An outstanding record of teaching and scholarship.
- Commitment to effective teaching and use of innovative techniques.
- Ability to effectively communicate with students in both large and small audiences.
- Ability to contribute through research, teaching, and/or public engagement to the diversity and excellence of the learning experience.
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 available to begin work on August 23, 2023.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
Please apply online to Academic Jobs Online https://academicjobsonline.org/ajo/jobs/23053 and submit the following application materials:
- A cover letter,
- Curriculum vitae,
- Research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.);
- 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.);
- Three letters of reference.
Screening of applicants will begin immediately and continue until the positions are filled.
At the University of Connecticut, our commitment to excellence is complemented by our commitment to building a culturally diverse community.
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 http://www.ct.gov/ethics/site/default.asp.
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.