The Department of Computational and Applied Mathematics (CAAM) at Rice University in Houston, Texas, seeks outstanding candidates for two positions aligned with its expansion in operations research. We envision one position related to the general area of continuous optimization with possible applications in data science or machine learning. We envision the other position to be in the broad area of operations research, with possible applications such as societal good, energy, healthcare, and others. We expect to hire both positions at the rank of tenure-track assistant professor; however, we will consider exceptional candidates at the rank of associate professor.

CAAM is part of the George R. Brown School of Engineering, which ranks among the top 20 undergraduate engineering programs (US News & World Report). The School is strongly committed to nurturing the aspirations of faculty, staff and students in an inclusive environment. More information about CAAM can be found at https://caam.rice.edu.

Successful candidates will have exceptional research potential along with a strong commitment to teaching, advising, and mentoring undergraduate and graduate students from diverse backgrounds. The candidates must have a PhD by the start date. Teaching experience at the university level will be viewed as an advantage.

Each application must include an application letter, a current curriculum vitae with a publication list, a research statement, a teaching statement, and a diversity statement. Applicants should also arrange for three recommendation letters. Applications must be made through: https://apply.interfolio.com/93323.

To receive full consideration, the complete application must be received by November 1, 2021, but the committee may consider applications filed after that date. Employment will begin July 1, 2022.

Rice University is an Equal Opportunity Employer with commitment to diversity at all levels and considers for employment qualified applicants without regard to race, ethnicity, religion, age, sexual orientation, gender identity, national origin, genetic information, disability, or protected veteran status.