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Tenure Track Position - Statistics

Apply now Job no: 493421
Work type: Instructional Faculty – Tenure-Track
Location: San Luis Obispo
Categories: Unit 3 - CFA - California Faculty Association, Math/Computer Science/Statistics, Tenure Track, Full Time

The Statistics Department in the College of Science and Mathematics at California Polytechnic State University, San Luis Obispo, is seeking full-time, academic year, tenure-track positions, with appointments beginning September 10, 2020. Appointment at the Assistant Professor rank is anticipated; higher ranks will be considered. Rank and salary are commensurate with qualifications and experience.

Primary duties will include teaching undergraduate statistics service classes to non-statistics majors as well as teaching and developing introductory and upper level statistics and data science classes for statistics majors and minors.

It is expected that the successful applicant is committed to quality undergraduate teaching, continued scholarly activity, and service to the University. Candidates with an interest in and ability to pursue scholarly projects with undergraduates are preferred. Applicants with data science and computing experience are especially encouraged to apply.

At California Polytechnic State University, San Luis Obispo, we believe that cultivating an environment that embraces and promotes diversity is fundamental to the success of our students, our employees and our community. Bringing people together from different backgrounds, experiences and value systems fosters the innovative and creative thinking that exemplifies Cal Poly’s values of free inquiry, cultural and intellectual diversity, mutual respect, civic engagement, and social and environmental responsibility. Cal Poly's commitment to diversity informs our efforts in recruitment, hiring and retention. California Polytechnic State University is an affirmative action/equal opportunity employer.

REQUIRED QUALIFICATIONS

Ph.D. in Statistics or closely related discipline required.

PREFERRED QUALIFICATIONS

Experience with data science and computing.

SPECIAL CONDITIONS

The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

Following a conditional offer of employment, a background check (including a criminal records check) must be completed satisfactorily before any candidate may start work with Cal Poly, San Luis Obispo. Failure to satisfactorily complete the background check may result in the withdrawal of the offer of employment. Note: Cal Poly cannot deny an applicant a position solely or in part due to a criminal conviction history until it has performed an individualized assessment and linked the relevant conviction history with specific job duties in the position being sought.

Please note: Current employees who are offered positions on campus will be required to undergo a background check for any position where a background check is required by law or that Cal Poly has designated as sensitive. Sensitive positions are those requiring heightened scrutiny of individuals holding the position based on potential for harm to children, concerns for the safety and security of people, animals, or property, or heightened risk of financial loss to Cal Poly or individuals in the university community.

For health and well-being, Cal Poly is a smoke & tobacco-free campus. The university is committed to promoting a healthy environment for all members of our community.

ABOUT THE DEPARTMENT

The foremost mission of the Statistics Department at Cal Poly is high-quality teaching of undergraduate students. The Statistics Departments offers a B.S. in Statistics and also minor programs in statistics, data science, and actuarial preparation. Moreover, the department provides support courses for most majors at Cal Poly and some graduate programs, and it also contributes many courses to the general education program. The department also runs a statistical consulting service for the university. The department faculty is comprised of 19 tenured/tenure track faculty and 12 lecturers.

HOW TO APPLY

Interested candidates must attach (1) a cover letter, (2) resume/curriculum vitae, (3) diversity statement, (4) teaching philosophy statement, (5) research statement, and (6) a copy of unofficial transcripts. Please be prepared to provide three professional references with names and email addresses when completing the online faculty application. Review of applications will begin September 30, 2019 and will continue until the position is filled.

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