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The Chronicle Of Higher Education, Inc. is seeking a tenured Professor to serve as the Department Chair of Computational Applied Mathematics and Operations Research at Rice University, with an anticipated start date of July 1, 2027. The successful candidate will lead the department and maintain a world-class research program while excelling in teaching.
Candidates must possess a Ph.D. in applied mathematics or related fields. The role requires transformative leadership and a commitment to diversity.
Rice University invites applications and nominations for a tenured Professor to serve as the Department Chair of CMOR, with an anticipated start date of July 1, 2027. The candidate will lead the department through a period of strategic growth and interdisciplinary innovation.
The successful candidate will be expected to maintain a world‑class research program with a history of extramural funding, demonstrate excellence in undergraduate and graduate instruction, and provide transformative leadership to the department, the school, and the broader university community.
About the CMOR Department: The department has world‑class expertise in continuous optimization, numerical linear algebra, partial differential equations, inverse problems, and large‑scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical imaging, neuroengineering, and climate modeling.
Faculty & staff: The department consists of 14 core faculty (12 tenured/tenure‑track, 2 full‑time teaching) and is supported by five dedicated administrative staff members.
Students: CMOR serves approximately 75 undergraduate majors and 65 doctoral and professional graduate students.
All candidates must have earned a Ph.D. degree in applied mathematics, operations research, or a related field and possess professional experience consistent with the rank of the position. All applicants should demonstrate excellence in scholarship, teaching, and collegial service.
Rice University is an Equal Opportunity Employer committed to diversity at all levels and considers qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status.