Open Rank Professional Track Faculty Position
Lecturer, Senior Lecturer, Associate Clinical Professor, Full Clinical, or Professor of Practice
Decision, Operations & Information Technologies Department
Position Number: 10020132
One of 12 schools and colleges located on the University of Maryland, College Park campus, the Robert H. Smith School of Business is a recognized leader in management research and education for the global economy. A comprehensive business school, Smith offers undergraduate, full-time and part-time MBA, Executive MBA, PhD, and non-degree executive education programs as well as outreach services to the corporate community. The school is consistently ranked among the top business schools by leading business publications such as U.S. News & World Report, Financial Times, Business Week, and The Wall Street Journal.
The Decision, Operations & Information Technologies Department at the Smith School of Business, is currently seeking to fill a Professional Track Faculty position, to begin Fall 2019. This full-time, non-tenure track faculty position may be in one of the following categories: Lecturer, Senior Lecturer, Associate Clinical Professor, Full Clinical, or Professor of Practice, depending on background, training, and previous work experience. Clinical and Practice faculty are also expected to engage in service responsibilities in the department, the school, and/or the university.
Candidates must be able to teach courses in Information Systems, with preference to those able to also teach courses in Business Analytics, at the undergraduate, MBA, MS, and EMBA levels. Courses take place at our College Park, MD campus, as well as three satellite locations in Baltimore, MD, Rockville, MD, and Washington, DC. Depending on the program, courses may be held during the day, evenings, and weekends. Faculty members are expected to teach some courses at the satellite locations during non-traditional hours. Evidence of teaching quality and ability to provide leadership in teaching excellence are the most important qualifications. Those with 3 years or more teaching experience at the university level with excellent evaluations will be given preference in consideration. A PhD is desired; however, significant industry experience at the executive level may compensate for lack of a PhD degree.
To Apply: Please visit https://ejobs.umd.edu and search for position number 10020932. Candidates should upload a CV, a listing of any recently-taught courses along with evidence of teaching effectiveness (e.g., teaching ratings, teaching awards), a statement of teaching philosophy, and a brief cover letter highlighting specific strengths relative to the position. Please also include the contact information for at least three reference providers with your application. Questions should be directed to Dr. Gordon Gao at firstname.lastname@example.org or Dr. Peng Huang at email@example.com. Priority consideration will be given to applications submitted by December 22, 2018; however, the positions will remain open until filled.
For more information about the University of Maryland, College Park, please visit http://www.umd.edu.
For more information about the Robert H. Smith School of Business, please visit http://www.rhsmith.edu.
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.
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)