Faculty Posting
Two Open Rank Positions - Assistant/Associate/Full Professor
Position Number: 122329
Tenured or tenure track
The Decision, Operations & Information Technologies (DO&IT) Department at the Robert H. Smith School of Business, University of Maryland, invites applications for two open-rank tenure-track faculty positions, starting Fall 2017. One of these positions is in Business Analytics while the other one is in Information Systems. We are seeking candidates with a strong commitment to high-quality research and evidence of ability to conduct impactful work publishable in top journals. We would also expect the faculty member to play a key role in the Department's academic programs at the Doctoral, Master's and Undergraduate levels, in terms of teaching and leadership.
The DO&IT faculty at the University of Maryland (http://www.rhsmith.umd.edu/doit/) is a vibrant group actively engaged in theoretical and applied research spanning information systems, operations management, management science, and statistics. The Smith School is a recognized leader in management research and education, with nationally ranked MBA, MS and undergraduate programs, as well as a strong doctoral program. The school is consistently ranked among the top business schools by leading publications such as U.S. News & World Report, Financial Times, Business Week, and Wall Street Journal. The Department houses two research centers actively involved in research and teaching – Center for Health Information and Decision Systems (CHIDS) and the Center for Digital Innovation, Technology and Strategy (DIGITS). The incumbents will be expected to teach courses, conduct research, and perform service.
Tenure-Track Position in Business Analytics: The candidate should have a PhD in management science/statistics, operations management, information systems, computer science or related fields. The candidate's research should contribute to the department's growing capabilities in business analytics and the analysis of big data, as well as contribute through teaching in the undergraduate and MS programs in Business Analytics.
Tenure-Track Position in Information Systems: The ideal candidate will have a PhD in information systems, computer science, statistics or related fields. The School is particularly interested in candidates conducting research in the following domains, across all research methodologies.
1. Data analytics, focused on the use of machine learning in addressing IS and business problems
2. Healthcare IT
3. Technology-related Innovation and Entrepreneurship (including digital platforms)
4. The Impact of Technology on Organizations and Individuals
Application Process
For full consideration, applications are due by November 15, 2016 and must be submitted electronically as one PDF file as an email attachment to AnalyticsIS@rhsmith.umd.edu. The subject line of this email and the cover letter should indicate clearly whether the application is for the Business Analytics or Information Systems position or for both positions in case the applicant is qualified and would like to apply for both positions. The application file should include a brief cover letter, vita, research and teaching statements, and names of three references, in that order. The file should be named with the candidate's last name and first name, e.g., SmithJohn. Applicants must also submit their application at https://ejobs.umd.edu (search for faculty position number 122329).
We plan to interview potential candidates at INFORMS and ICIS. To be considered for an interview at the INFORMS Meeting in Nashville, TN, applications must be received by October 20, 2016.
For more information about the University of Maryland, please visit www.maryland.edu.
For information about the Robert H. Smith School of Business, visit our Web site at www.rhsmith.umd.edu.
For information about the DOIT Department, visit the departmental site at http://www.rhsmith.umd.edu/faculty-research/academic-departments/decision-operations-information-technologies
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.