DEPARTMENT: Systems Science and Industrial Engineering
POSITION:Assistant Professor
LINK: https://binghamton.interviewexchange.com/jobofferdetails.jsp?JOBID=66879
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Binghamton University
Assistant Professor - Data Science/Big Data Analytics
About Binghamton University:
Binghamton University has built a reputation as a world-class institution that combines a broadly interdisciplinary, international education with one of the most vibrant research programs in the nation. Binghamton is proud to be ranked among the elite public universities in the nation for challenging our students academically, not financially. The result is a unique, best-of-both-worlds college experience.
Our academic culture rivals a first-rate private university - rigorous, collaborative and boldly innovative -- while our campus culture exemplifies the best kind of public university experience: richly diverse students, active social life and deep engagement with the community.
Our students, both undergraduate and graduate, work one-on-one with an exceptional faculty that includes innovative scientists and groundbreaking scholars. They take advantage of special academic opportunities like combined degrees, foreign language study groups and an unparalleled international education program.
Job Description:
The Department of Systems Science and Industrial Engineering (SSIE) in the Thomas J. Watson School of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for a faculty member, at the tenure-track Assistant Professor level, in Data Science/Big Data Analytics starting in September 2016. The Watson School is dedicated to the goal of building a diverse and inclusive teaching, research, and working environment. Potential applicants who share this goal, especially underrepresented minorities, women and persons with disabilities, are strongly encouraged to apply. The position involves teaching at all levels from undergraduate courses to advanced graduate courses, and establishing theoretical and applied research in the area of Data Science/Big Data Analytics.
The SSIE Department secures over 2.5 million dollars in research funding per year. Our faculty members work collaboratively with over 24 sponsors from industry and federal agencies. With an excellent and growing academic reputation, the SSIE Department is internationally renowned in the electronics manufacturing/electronics packaging arena. Another area of substantial growth is health systems, and our faculty works with several major healthcare organizations across the nation and abroad. The department is continuing significant expansion, with four additional faculty positions, including this position.
The department currently has eighteen faculty members and offers a BS degree in Industrial and Systems Engineering (ISE), MEng degrees in IE and SE, and MS and PhD Degrees in both Systems Science and Industrial and Systems Engineering (or ISE). SSIE also offers a cutting edge executive health systems program in Manhattan. With about 235 undergraduate, 232 masters and 102 doctoral students, the department is growing in numbers and in its reputation. The successful candidate for this position will be expected to help increase the number of women, underrepresented minorities and persons with disabilities, as well as help increase external funding to support diverse populations. Prospective candidates are encouraged to visit the department web site (http://www.ssie.binghamton.edu) for more details.
Located in Binghamton, NY, we are ideally situated in the high-tech heart of the state. Industry partnerships, class projects and internship opportunities provide a wealth of hands-on experience for graduate and undergraduate students alike.
This is an affiliated position for the University's Smart Energy and/or Health Sciences Transdisciplinary Areas of Excellence (TAE). The successful candidate will contribute to the development of this TAE as an area of research and teaching. The search committee will include members of the Smart Energy and/or Health Sciences TAE steering committee as well as from the Department of Systems Science and Industrial Engineering. For more information on the TAE go to http://www.binghamton.edu/tae. The successful candidate will have a tenure berth in Department of Systems Science and Industrial Engineering.
Requirements:
The candidate must have a doctoral degree in Industrial and Systems Engineering or a closely related field as well as good leadership skills, and should have an excellent record of scholarly publications. The candidate is expected to have a high potential to initiate and sustain an externally funded multi-disciplinary research program and to take a major role in the area of Data Science/Big Data Analytics are required, with applications in areas that include, but are not limited to, health systems, energy, or enterprise systems. Teaching experience is preferred. Demonstrated commitment to the diversity of students, faculty and staff, and to advancing an inclusive climate that stimulates excellence is preferred.
Additional Information:
It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception.
Application Instructions:
Please submit a cover letter, curriculum vitae, contact information for three (3) professional references, and a statement of research and teaching philosophies online at http://binghamton.interviewexchange.com. Applications received by January 22, 2016, will be given first consideration, but the review process will continue until the position is filled.
Any questions about this position should be directed to Dr. Sarah Lam, Associate Professor and Search Committee Chair, (email: sarahlam@binghamton.edu; phone: 607-777-4754; fax: 607-777-4094).
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