Professor of Analytics and AI

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Professor of Analytics and AI

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Please see Special Instructions for more details.

Applications must include an up-to-date curriculum vitae and cover letter; the names and contact information of three references who may be asked to provide letters of recommendation; a research statement describing the applicant’s research experience, current interests, and future research agenda; and a teaching statement describing the applicant’s teaching interests, aspirations, and any prior teaching experience.

Please submit an online application by November 9th. Applicants are encouraged to initiate submission of their application materials by October 25th to facilitate possible discussions with members of the search committee during the INFORMS Annual Meeting.

Only complete applications will be considered. If you have any questions regarding the position, please contact Zhengling Qi ([email protected]). Review of applications will begin November 9, 2026, and continue until the position is filled.

Recruitment Plan

I. RECRUITMENT PLAN

Posting Number:	F002669
Academic Title:	Professor of Analytics and AI
Rank:	Assistant Professor
Administrative Title:
Discipline	Business
Specialty:
Contract Type:	Tenure Track
Required Licenses/Certifications and other Specific Requirements:	Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search, This position requires a licensure, certification, or special requirements
Proposed Start Date:	08/01/2027
Full-Time/Part-Time:	Full-Time
Position Description Summary:	The Department of Decision Sciences at the George Washington University School of Business invites applications for a full-time, tenure-track Assistant Professor of Analytics and AI position as early as Fall 2027. Salary is competitive and commensurate with experience and an established research record. We particularly welcome methodological research that develops algorithms and mathematical models in computational and statistical machine learning, optimization, and algorithmic decision-making. We value both methodological advances and rigorous applied research on AI that help organizations improve prediction, optimization, and decision-making under uncertainty.
Specific Duties and Responsibilities:	The successful candidate will conduct research for publication in leading journals and conferences, teach undergraduate and graduate courses in analytics and AI, mentor graduate students, and participate in university and professional service. A strong commitment to teaching excellence and student learning is essential, along with the ability and flexibility to teach a range of courses as departmental and program needs evolve. The appointment will support the department’s business analytics programs and the AI Analytics track of the school’s new MS in AI for Business.
Minimum Qualifications:	Applicants must hold, or expect to complete by the appointment date, a Ph.D. in statistics, machine learning, operations research, operations management, computer science, industrial engineering, or a closely related field. Applicants must demonstrate strong potential for research excellence and publication in premier scholarly journals in closely related disciplines. Applicants must also demonstrate teaching excellence at the undergraduate and graduate levels, a commitment to high-quality teaching and student learning, and evidence of teaching effectiveness or the potential to excel in the classroom.
Advertised Salary:	$190,000 - $205,000
Other Benefits:	This position is eligible for full-time health benefits. For more information, please visit: https://hr.gwu.edu/health-benefits.
Other Information:
Special Instructions to Applicants:	Applications must include an up-to-date curriculum vitae and cover letter; the names and contact information of three references who may be asked to provide letters of recommendation; a research statement describing the applicant’s research experience, current interests, and future research agenda; and a teaching statement describing the applicant’s teaching interests, aspirations, and any prior teaching experience. Please submit an online application by November 9th. Applicants are encouraged to initiate submission of their application materials by October 25th to facilitate possible discussions with members of the search committee during the INFORMS Annual Meeting. Only complete applications will be considered. If you have any questions regarding the position, please contact Zhengling Qi ([email protected]). Review of applications will begin November 9, 2026, and continue until the position is filled.
Department Link:
Posting Close Date:
Open Until Filled:	Yes
Background Screening	Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:	The university is an Equal Employment Opportunity 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.
Quick Link	https://www.gwu.jobs/postings/129068

Applicant Documents

Required Documents

1. Curriculum Vitae
2. Cover Letter
3. Names and Contact Information for References
4. Other Documents Refer to Special Instructions to Applicants
5. Statement of Teaching and Research Interest

Optional Documents

1. Sample Publications
2. List of Publications
3. Course Evaluations or Summaries

Posting Specific Questions

Required fields are indicated with an asterisk (*).

1. * Will you have a Ph.D. in Statistics, Operations Research, Operations Management, Computer Science, or a closely related field, completed or expected to be completed by the date of appointment?
   • Yes
   • No
2. * Can you demonstrate strong potential for research excellence and publication in premier scholarly journals in closely related disciplines?
   • Yes
   • No
3. * Can you demonstrate potential for teaching excellence at the undergraduate and graduate levels, a commitment to high-quality teaching and student learning, and evidence of teaching effectiveness or the potential to excel in the classroom?
   • Yes
   • No