University of San Francisco: Assistant Professor, Tenure Track, Mathematics and Statistics [San Francisco, CA]

The University of San Francisco invites applications for a tenure-track Assistant Professor position to begin August 2019. We seek well-qualified candidates in the areas of applied mathematics or statistics, with a focus on the extraction of knowledge from data.

At: University of San Francisco

University of San Francisco

Location: San Francisco, CA
Web: www.usfca.edu
Position: Assistant Professor, Tenure Track, Mathematics and Statistics

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Job Summary:

The Department of Mathematics and Statistics at the University of San Francisco invites applications for a tenure-track Assistant Professor position to begin August 2019. We seek well-qualified candidates in the areas of applied mathematics or statistics, with a focus on the extraction of knowledge from data. Special consideration will be given to candidates who can directly contribute to both the interdisciplinary bachelor's degree in data science (BSDS ), as well as the master's program in data science (MSDS ).

Job Responsibilities:

The successful candidate will be expected to teach undergraduate and graduate courses and mentor students who work with our industry partners. In addition, the successful candidate will be expected to engage in service to the department(s) and college, as well as maintain an active research program that engages students when possible.

Minimum Requirements:

Applicants must have a Ph.D. earned by August 2019 in mathematics, statistics, or a related field. In addition, a strong record of teaching at the university level, evidence of scholarship, and an understanding of and commitment to support the mission of the University of San Francisco are required.

Additional Knowledge, Skills, and Abilities:

For information on how to apply, please visit the following link: http://apptrkr.com/1315465

EEO Policy

The University of San Francisco is an equal opportunity institution of higher education. As a matter of policy, the University does not discriminate in employment, educational services and academic programs on the basis of an individual’s race, color, religion, religious creed, ancestry, national origin, age (except minors), sex, gender identity, sexual orientation, marital status, medical condition (cancer-related and genetic-related) and disability, and the other bases prohibited by law. The University reasonably accommodates qualified individuals with disabilities under the law.