San Francisco State University, Department of Psychology offers an exciting opportunity for a tenure-track Assistant Professor position in Quantitative Methods (including Data Science) beginning August 9, 2023. We seek a colleague whose teaching and research interests focus on any approach within quantitative methods of modeling human behavior, such as traditional null hypothesis statistical testing, Bayesian statistics, mathematical psychology, and/or any specific focus within data science. We are especially interested in qualified candidates with a demonstrated commitment -- through their research, teaching, and service -- to the diversity and excellence of our academic community. The mission of San Francisco State University is to create and maintain an environment for learning that promotes respect for and appreciation of scholarship, academic freedom, human diversity, and the cultural mosaic of the City of San Francisco and the Bay Area; to promote excellence in instruction and intellectual accomplishment; and to provide broadly accessible higher education for residents of the region and state, as well as the nation and world. Accordingly, we are particularly interested in qualified candidates who demonstrate the use of statistical methods to address social inequities; critical engagement with the history of statistics; representation of minoritized identities within statistics and behavioral science overall; and, a commitment to promoting minoritized identities within the larger Science, Technology, Engineering and Math (STEM) disciplines.
To fulfill its mission, the University is committed to the following goals:
• Attracting, retaining and graduating a highly diverse student body
• Providing disciplinary and interdisciplinary liberal arts and professional education that is academically rigorous and intellectually challenging
• Providing curricula that reflect all dimensions of human diversity, and that encourage critical thinking and a commitment to social justice
• Recruiting, retaining and supporting a diverse faculty whose teaching demonstrates an active engagement with their individual fields of study and whose creative and scholarly work is an extension of the classroom, laboratory or studio
• Employing a staff and administration reflecting the diversity of our student community and the values of the campus;
• Fostering a collegial and cooperative intellectual environment that includes recognition and appreciation of differing viewpoints and promotes academic freedom within the University community; and
• Serving the communities with which its students and faculty are engaged.
Responsibilities: The position requires both graduate and undergraduate teaching in quantitative methods courses in the Psychology Department, including, but not limited to, undergraduate statistics, undergraduate and/or graduate data science courses, as well as courses within the candidate’s area of expertise or research focus. Additionally, the position requires mentoring and advising both graduate and undergraduate students; developing an active ongoing research program in one’s area of specialty (including potentially collaborating with other faculty in the department); and, ongoing committee and service assignments within the Department of Psychology.
• Ph.D. (or equivalent degree) in any behavioral science discipline (e.g., psychology,
human development, epidemiology, data science). Terminal degree must be completed
by the first day of employment.
• Record of working and communicating effectively with colleagues and students
• Demonstrated ability to incorporate inclusion, diversity, and educational equity in
teaching, and/or scholarship
• Record of teaching contributions in any areas of quantitative methods applied to human
behavior (as a graduate student, post-doc, or faculty member)
• Active record of scholarship related to quantitative methods applied to human behavior
• Experience teaching and working closely with students from historically underrepresented
• Record of contributing to supportive and collaborative work environments
• Demonstrated pedagogical methods to teach quantitative topics to students from
Rank and salary:
Assistant Professor. Salary commensurate with qualifications and experience. The California State University (CSU) provides generous health, retirement and other benefits.
A complete online application must be submitted to receive consideration. To apply, upload the following materials:
1. Cover letter (relating your experience to the required qualifications)
2. Curriculum vitae
3. A diversity statement that is no more than 500 words that provides an understanding of your
capabilities to address diversity in support of SFSU’s diverse student and community
populations. Please discuss how you have addressed diversity in your teaching, research, and
Contact information for three references. Letters of recommendation upon request at a later date.
Please direct all questions about the position to Charlotte Tate, Ph.D., Search Committee Chair,
CSU requires faculty, staff, and students who are accessing campus facilities to be immunized against COVID-19 or declare a medical or religious exemption from doing so. Any candidates advanced in a currently open search process should be prepared to comply with this requirement. The systemwide policy can be found at https://calstate.policystat.com/policy/9779821/latest/ and questions may be sent to: firstname.lastname@example.org
Thank you for your interest in employment with California State University (CSU). CSU is a state entity whose business operations reside within the State of California. Because of this, CSU prohibits hiring employees to perform CSU-related work outside of California with very limited exception. While this position may be eligible for occasional telework, all work is expected to be performed in the state of California, and this position is assigned to on-campus operations. San Francisco State is an Equal Opportunity/Affirmative Action Employer and does not discriminate against persons on the basis of race, religion, color, ancestry, age, disability, genetic information, gender, gender identity, gender expression, marital status, medical condition, national origin, sex, sexual orientation, covered veteran status, or any other protected status. We strongly encourage the application of individuals from historically underrepresented groups. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager. Additional information on the requirements for new hires may be found at the
Human Resources web page (https://hr.sfsu.edu/about-hr).