University of San Francisco, Mathematics, Arts & Sciences

Position ID: USFMathStats-APMS [#14353]
Position Title: Assistant Professor, Tenure-Track, Mathematics and Statistics
Position Type: Tenured/Tenure-track faculty
Position Location: San Francisco, California 94117, United States [map]
Application Deadline: none (posted 2019/08/29)
Position Description:    



Assistant Professor, Tenure Track
Department of Mathematics and Statistics


The Department of Mathematics and Statistics at the University of San Francisco invites applications for a tenure-track Assistant Professor position to begin August 2020. We seek well-qualified candidates in the areas of applied mathematics or statistics, with a focus on the extraction of knowledge from data. Relevant fields include, but are not limited to, data science, modeling, applied probability, applied statistics, and machine learning. Special consideration will be given to candidates who can directly contribute to the interdisciplinary bachelor's degree in data science, as well as the traditional undergraduate mathematics and statistics program, and the master's program in data science (MSDS).

Job responsibilities: The successful candidate will be expected to teach undergraduate courses and mentor students who work with our industry partners. The expected teaching load for this position at USF is two 4-unit courses per semester with an additional third course every fourth semester (2-2-2-3 over two years). In addition, the successful candidate will be expected to engage in service to the department and college, as well as maintain an active research program that engages students when possible. Close interaction between students and faculty is a hallmark of the department, and preference will be given to candidates who can involve students in undergraduate research projects.

Minimum Qualifications: Applicants must have a Ph.D. earned by August 2020 (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.

Candidates should submit a letter of application, curriculum vitae, statements of teaching philosophy and research plans, teaching evaluations, graduate transcripts, and three letters of recommendation. All of the above elements are required to complete your application.

Completed applications must be submitted online at
https://gnosis.usfca.edu/search/
Review of applications will begin on December 2, 2019.

We invite candidates to find out more about our department at http://www.usfca.edu/artsci/math/ and information about the Data Science Major can be found at http://www.usfca.edu/artsci/bsds/. Questions regarding this search may be emailed to mathsearch@math.usfca.edu.

The University of San Francisco is an Equal Opportunity and Affirmative Action Employer. The university does not discriminate in employment, educational services, or 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), disability, or other bases prohibited by law, and will provide reasonable accommodations to individuals with disabilities upon request. We particularly encourage minority and women applicants for all positions. For more information, visit www.usfca.edu.





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This employer is not accepting applications for this position through Mathjobs.Org. Please apply at https://gnosis.usfca.edu/search.
Contact: Christine Liu, 415-422-6747
Email:
Postal Mail:
Univ. of San Francisco
Mathematics and Statistics
2130 Fulton Street HR121
San Francisco, CA 94117-1080
Web Page: http://www.usfca.edu

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