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Position Summary:
The Virginia Tech Honors College (http://www.honorscollege.vt.edu) is developing the Calhoun Honors Discovery program: a signature program on collaborative transdisciplinary learning focused on technology innovation for societal impact. The program was established by a founding gift from David Calhoun. The program also leverages significant industry support and participation.
The Discovery program will be developed and realized by a faculty cohort that includes: dedicated Honors College faculty, professors of practice from industry, and affiliated faculty from collaborating departments at Virginia Tech. As part of building this faculty cohort, the Honors College, the Department of Business Information Technology ( BIT ) and the Computational Modeling and Data Analytics ( CMDA ) program seek a versatile instructor with a background in information technology, business intelligence, decision sciences and/or data analytics, to contribute to its instructional programs. Applicants should possess an interest in developing educational modules on IT topics for non-IT majors, working in interdisciplinary teams with Information Technology and Decision Science majors, and researching and advancing transdisciplinary problem solving and learning with industry participation. Applicants should possess a PhD in information systems, decision sciences, data analytics or related business or operations research disciplines, and have a passion for innovative teaching and learning.
This is a Collegiate Faculty position (non-tenure, long term renewable contracts with promotion path) at the rank of assistant professor. The appointee will mentor highly motivated honors students, teach honors courses, lead collaborative problem-solving studios and related undergraduate research, collaborate with the industry partners of the program and contribute to the overall development of Discovery programs and the Honors College. The appointee will be expected to participate in college- and university-level service, committee work, and other duties as assigned, and to pursue a program of personal research in an area related to information technology, data analytics or decision sciences. Each Discovery Program Faculty will hold affiliate status with one of the core participating departments in the Discovery program. The appointee in this position will hold an affiliate status with the Department of Business Information Technology in the Pamplin College of Business or with the Computational Modeling and Data Analytics program.

Required Qualifications:
• A terminal degree in information technology, data analytics, decision sciences, or related business or operations research disciplines.
• A strong record of academic accomplishments and the proven ability to work collaboratively
• Proven ability to teach undergraduate courses in both thematic and methods topics
• Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex societal challenges in a transdisciplinary manner.
• Demonstrated ability to mentor undergraduate students in developing interdisciplinary capacities
• A commitment to diversity in the university community

Preferred Qualifications:
• Expertise in big data analytics, data visualization, data mining or deep learning as part of an interdisciplinary design team
• An interest in professional ethics and social responsibility
• Research experience in inter- and transdisciplinary learning
• Experience working with a dynamic, diverse, and highly motivated undergraduate student body drawn from a broad spectrum of disciplines
• Experience with a variety of teaching/learning styles, including flipped classrooms, project-based learning, interdisciplinary studio instruction or cross-disciplinary capstone courses.
• Industry experience, or experience in leading or managing industry collaborations.



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