The Institute’s goal is to become a premier academic resource for advanced research, development and technology transfer, teaching and workforce development in distributed, heterogeneous, adaptive and intelligent systems. The Institute seeks to advance the science base of systems including design, validation, verification, modeling and methodologies, and accelerate its technological translation into sustained industrial support and growth.

The Institute is established with significant investments from the United Technologies Corporation as well as the University of Connecticut. The resources available to the center include two endowed positions, four endowed graduate fellowships, five new faculty positions, and a current team of 20 outstanding faculty members with research interests in Systems Engineering across the School of Engineering. The strategy of the Institute is to establish the program in partnership with UTC in terms of research collaborations and reciprocal learning across UTC Business Units.

Minimum Qualifications

• Completion of all requirements for a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering or a related Information Technology discipline by the time of the appointment.
• Research credentials in system verification, validation, modeling and/or design methodologies.
  A proven ability to excel in teaching undergraduate and graduate courses in Computer Science & Engineering, including software and system design methodologies; demonstrated potential in establishing a successful research and scholarship, deep commitment to promoting diversity through their academic and research programs.
• Excellent oral and written communication skills.
• Strong interpersonal skills and a track record of collaborative research including other research Institutions and Industry.
• Demonstrated success in original research, and publication of that work in archival journals. A track record of successful interaction with Industry is an additional asset.
• Experience with oral presentations at national or international scientific meetings.
• Senior candidates at full professor level should have established significant research programs with a track record of external funding as well as demonstration of a leadership role as the PI of large research grants and industrial collaboration.
• Contribute through research, teaching, and/or public engagement to the diversity and excellence of the learning experience.

Preferred Qualifications

• Expertise in specialty that is of interest to the institute and that complements existing faculty expertise and an outstanding record of research and scholarship excellence.
• Commitment to effective teaching, integrating technology into instruction, on-line instruction; and the ability to contribute through teaching and/or public engagement.
• Commitment to the diversity and excellence of the learning experience.
• Experience as a post-doctoral or industry researcher in a research-competitive environment.
• Exposure to developing research grant applications to federal funding agencies.

This is a 9-month tenure-track position with an earliest expected start date of January 1, 2015. The successful candidate’s primary academic appointment will be in the Computer Science & Engineering department 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.

For further information and to apply for this position, see this job posting.

The newly established UTC Institute for Advanced Systems Engineering in the School of Engineering at the University of Connecticut (UConn) solicits applications for a full-time tenure-track faculty position at the rank of Assistant, Associate or Full Professor in the Computer Science & Engineering Department to conduct research, education and outreach related to systems engineering. The successful candidate will:

• Develop, sustain, and grow a research program of excellence in system verification, validation, modeling and design methodologies, including Model Based Design and Platform-Based Design principles. The research program is based on a deep collaboration with the United Technologies Corporation (UTC) and the UTC Institute for Advanced Systems Engineering.
• Teach undergraduate and graduate courses that meet the curricular needs of the institute with particular emphasis on setting up a system design curriculum. Advise and mentor undergraduate and graduate students with particular emphasis on the area of system design.
• Provide service and leadership to all units of the University of Connecticut, to external academic and scientific communities, and to the general public.

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.