Computer Science & Engineering, University of Connecticut

Position ID:UConn-CSE-2019149 [#12556]
Position Title: Assistant Professor in Residence
Position Type:Non tenure-track faculty
Position Location:Storrs, Connecticut 06269, United States [map]
Subject Areas: Computer Science
Computer Engineering
Appl Deadline: (posted 2018/10/26, listed until 2019/04/26)
Position Description:    

The Department of Computer Science and Engineering at the University of Connecticut, Stamford invites applications for a non-tenure track position at the rank of Assistant Professor-in-Residence. This position has a start date of August 23, 2019. The successful candidate will primarily contribute to the department’s teaching program in Stamford, but is encouraged to pursue his or her research interests and collaborate within the department.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1).  We are pleased to continue these investments by inviting applications for an In-Residence faculty position in the Computer Science & Engineering department at the rank of Assistant Professor.

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 http://www.cse.uconn.edu/.

In the area of teaching, the successful candidate will share a deep commitment to effective instruction at the undergraduate level, the development of innovative courses and mentoring of students in research, and outreach & professional development.  The successful candidate will also be 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; 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

Earned Ph.D. in computing sciences or related field by the time of appointment; candidates must have a proven record of potential in teaching and 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 positions 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, 2019 for a Fall semester start.

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 candidate will be contingent upon the successful completion of a pre-employment criminal background check.  (Search 2019149)

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 community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities, and members of traditionally underrepresented populations.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
http://www.cse.uconn.edu/
 
Computer Science & Engineering Department
371 Fairfield Way, Unit 4155
University of Connecticut
Storrs, CT 06269-4155
Phone: (860) 486-3719
Fax: (860) 486-4817

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