Assistant Or Associate Professor In Residence, Or Lecturer Computing job in Storrs

Assistant Or Associate Professor In Residence, Or Lecturer
Search #: 498314
Work type: Full-time
Location: Storrs Campus
Categories: Faculty Non Tenure Track
INTRODUCTION

The School of Computing at the University of Connecticut (UConn) invites applicants for a non-tenure track position at the rank of Assistant or Associate Professor-in-Residence, or Lecturer at the Storrs campus. The successful candidate will primarily contribute to the department’s teaching program but is encouraged to pursue their academic interests and collaborate within the department.

The School of Computing at UConn harbors a rich environment of instruction offering four rigorous degrees in the computing sciences and a world-class research enterprise. The department has experienced unprecedented growth in the last five years, leading to new and exciting education and research initiatives for faculty and students. CSE has 47 full-time faculty members with research areas including security, machine learning, bioinformatics, systems and networking, and big data analytics. For the more than 1,300 undergraduate and 150 graduate students, this top-notch college experience is heightened by the department’s successful recruiting of award-winning faculty to support the next generation of computer scientists and engineers. Additional information about the department can be found at http://www.cse.uconn.edu/.

We are pleased to invite applications for an In-Residence or Lecturer faculty position in the School of Computing at the rank Assistant Professor, Associate Professor, or Lecturer at the Storrs campus. The successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate level, development of innovative courses and mentoring of students, outreach, and professional development. The successful candidate will also be expected to broaden participation among members of under-represented groups; demonstrate through teaching, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods 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.

MINIMUM QUALIFICATIONS

APIR: Candidates interested in the Assistant or Associate Professor must:

Have an earned Ph.D. in computing sciences, mathematics, or related fields by the time of appointment.
Candidates must have a proven record or potential in teaching and must have a deep commitment to promoting diversity and inclusion through their academic programs.
LECTURER: Candidates interested in the Lecturer must:

Have earned a Master's degree in computing sciences or related field by the time of appointment.
Must have a proven record of potential in teaching and demonstrated commitment to promoting diversity and enhancing inclusion as proven through academic programs.
PREFERRED QUALIFICATIONS

APIR: Candidates interested in the Assistant or Associate Professor must:

Demonstrate expertise in several areas of computer science such as introduction to programming, data structures, and algorithms, basic cyber security, architecture, and system programming are a plus.
Must have an 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 teaching and/or public engagement to diversity. Excellence of the learning experience will be appreciated.
Candidates with experience in engineering are particularly encouraged to apply.
LECTURER: Candidates interested in the Lecturer must:

Demonstrate expertise in several areas of computer science such as introduction to programming, data structures and algorithms, basic cyber-security, architecture, and system programming.
Must have an outstanding record of teaching and scholarship.
Must exhibit a 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 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 August 23, 2024, for the semester start. Rank and salary will be commensurate with qualifications and interests.

TERMS AND CONDITIONS OF EMPLOYMENT

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

Assistant Or Associate Professor In Residence, Or Lecturer

Search #: 498314
Work type: Full-time
Location: Storrs Campus
Categories: Faculty Non Tenure Track