Computer Science & Engineering, University of Connecticut

Position ID:UConn-CSE-2015127 [#4849, 2015127]
Position Title: Assistant/Associate/Full Professor in Computer Science and Engineering and Institute for Systems Genomics
Position Type:Tenured/Tenure-track faculty
Position Location:Storrs, Connecticut 06269, United States [map]
Subject Areas: Computer Engineering
Computer Science
Appl Deadline:2015/04/07** finished (posted 2014/10/08, finished 2015/05/13, listed until 2015/04/07)
Position Description:    

*** this position has been closed, and no new applications will be accepted. ***

The Department of Computer Science and Engineering in the School of Engineering and the Institute for Systems Genomics ( at the University of Connecticut invite applications for a tenure-track faculty position at the assistant, associate or full professor level, with an expected start date of August 23, 2015.  The research specialties of interest include, but are not limited to, big data analysis in genomics, genomics data interpretation, machine learning and visualization, biological databases, biomedical literature mining, bioinformatics, systems biology, and related areas. Successful candidates will be expected to actively engage in collaborative research projects and teach in the new Institute-based graduate programs.

About the University of Connecticut:

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 at all ranks during the past three years.  We are pleased to continue these investments by inviting applications for faculty positions in the Department of Computer Science & Engineering at the rank of tenured/tenure-track appointments at the rank of Assistant, Associate or Full Professor.

The Department of Computer Science & Engineering has 23 faculty members, over 500 undergraduate and 130 graduate students, and actively engages in cutting edge computer science research.

The successful candidate will be expected to contribute to research & scholarship through extramural funding, high quality publications, impact as measured through citations, national recognition as through honorific awards.  In the area of teaching, successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach and professional development.  Successful candidates will also be expected to broaden participation among members of under-represented groups; demonstrate through their research, teaching, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

About the Institute for Systems Genomics

The University of Connecticut recently established the Institute for Systems Genomics ( to coalesce the interdisciplinary research strengths of 10 schools and colleges at the university ( and the Jackson Laboratory (  The Institute leverages the significant investment from the state, including the $865M Bioscience CT initiative, $172M Tech Park program, the $200M Bioscience Innovation Fund, and $1.7B Next Generation CT.

These are 9-month tenure-track positions with an expected start date of August 23, 2015.  The successful candidates will have a primary academic appointment in the Department of Computer Science and Engineering within the School of Engineering and a joint appointment in the Institute for Systems Genomics.  Primary assignment will be at the Storrs campus with the possibility of work at UConn's regional campuses across the state.  Salary and rank will be commensurate with qualifications.

Primary Duties 

The successful candidates will:

  • Develop, sustain, and grow an externally funded research program of excellence through collaboration and engagement with the Institute for Systems Genomics research community.

  • Teach undergraduate and graduate courses that meet the curricular needs of the Department of Computer Science and Engineering and Institute of Systems Genomics.

  • Advise and mentor undergraduate and graduate students. 

  • Provide service and leadership to all units of the University of Connecticut, to external academic and scientific communities, and to the general public.

Minimum Qualifications

  1. Completion of all requirements for a Ph.D. or an equivalent terminal degree in computer science or a related field, with an emphasis on computing and genomics, by the time of the appointment.
  2. A proven ability to excel in teaching; demonstrated potential in establishing a successful research and scholarship, deep commitment to promoting diversity through their academic and research programs. 
  3. Excellent record of research accomplishments in specialty research area.
  4. Excellent oral and written communication skills.
  5. Strong interpersonal skills.
  6. Demonstrated success in original research, and publication of that work in archival journals.
  7. Experience with oral presentations at national or international scientific meetings. 

Preferred Qualifications

  1. Possess the ability to contribute to the diversity and excellence of the learning experience through research, teaching and/or public genomic literacy engagement. 
  2. Commitment to effective teaching, integrating technology into instruction, on-line instruction; and the ability to contribute through teaching and/or public engagement.
  3. Relevant teaching experience.
  4. Record of developing research grant applications to federal funding agencies.
  5. Record of collaboration with industry.

Please submit a cover letter; curriculum vita; list of 4 references; research plan and 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 graduate 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.); and other applicable materials.  Please reference search 2015127.  Review of applications 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.

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.

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:
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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