Lowell, Massachusetts
West Lafayette, Indiana
St. Petersburg, Florida
China
Green Bay, Wisconsin
Fort Worth, Texas
Posted: 04-May-23
Location: Washington, D.C.
Type: Full Time
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Position description/summary: The Department of Decision Sciences of The George Washington University’s School of Business invites applications for a special service faculty position at the Assistant Professor level in the areas of Business Analytics, data and AI governance– to include experience with the NIST AI risk management framework and SR 11-17 model governance, software development (Python, SAS), and analytics consultancy, to begin as early as Fall 2023. The successful candidate will be expected to teach courses in Machine Learning, responsible data analytics, consultancy and practicum, help to administer the program, and conduct scholarly and practice-oriented research leading to publications in trade journals and peer-reviewed journals. The candidate is also expected to be actively involved in service to the department, school, university, and the practitioner and scholarly community.
Minimum qualifications: Applicants must have completed all degree requirements for an advanced degree in Business Analytics, or a related interdisciplinary field, by date of appointment, have extensive experience with consulting in the field, demonstrated expertise in open source and commercial software development (Python, SAS), and be fluent with federal regulations, standards, and best practices for Data Analytics. Applicants must also demonstrate the potential for outstanding scholarly research and excellence in teaching at both the undergraduate and graduate levels.
The Department, University, and City: The GWSB Decision Sciences department is a multidisciplinary group comprised of OR, OM, Statistics, Data Analytics, and Project Management scholars. We have 16 full-time faculty researching and teaching in the above-mentioned areas. The department houses GW’s Master’s in Business Analytics and Master’s in Project Management, and also participates in all of GW School of Business programs at the bachelors, masters, and doctoral levels. GW also hosts an Institute for integrating statistics in decision sciences (I2SDS), providing extensive resources for international business research, teaching, and outreach on our campus and beyond.
Our location in the heart of the US capital, near the World Bank and International Monetary Fund, offers distinctive advantages for both students who wish to gain practical experience and faculty who wish to conduct academic research that has global implications.
For additional information, please visit the department website at https://business.gwu.edu/academics/departments/decision-sciences
Application Procedure: Only complete applications will be considered. Review of applications will begin on June 5, 2023 and will continue until the position is filled. To apply, please complete an online faculty application at https://www.gwu.jobs/postings/101722 and submit a cover letter, an up-to-date curriculum vitae, a statement of research interest that includes objectives and aspirations in research and education, a statement of teaching interest that includes teaching experience and performance, and copies of representative publications. Women and diverse candidates are strongly encouraged to apply.
For questions, please contact:
Ms. Morganne Harper
Administrative Manager, Department of Decision Sciences E-Mail: morganneharper@gwu.edu
EEO Statement: The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
The University and the GW Business School seek to attract an active, culturally and academically diverse faculty of the highest caliber.
Successful Completion of a Background Screening will be required as a condition of hire.
Minimum qualifications: Applicants must have completed all degree requirements for an advanced degree in Business Analytics, or a related interdisciplinary field, by date of appointment, have extensive experience with consulting in the field, demonstrated expertise in open source and commercial software development (Python, SAS), and be fluent with federal regulations, standards, and best practices for Data Analytics. Applicants must also demonstrate the potential for outstanding scholarly research and excellence in teaching at both the undergraduate and graduate levels.
