Master of Applied Statistics and Data Science Adjunct Professor - Winter 2025

The UCLA Department of Statistics and Data Science seeks open-ranked adjunct professors with a strong commitment to excellence in teaching applied statistics to fill temporary positions for the Master of Applied Statistics program for Winter Quarter 2025, starting on January 1, 2025.

Ideal candidates will have a Ph.D. in Statistics or a related field, a demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, data science and analytics, methods for analyzing big data and machine learning, and a commitment to excellent teaching. Adjunct professors are expected to continue scholarly work, either through research in statistics education, research in statistics, statistical consulting, or other scholarly activities.

Interested applicants should apply by submitting a CV and a Statement on Contributions to Equity, Diversity, and Inclusion to UCLA Academic Recruit at:

https://recruit.apo.ucla.edu/JPF10029

The salary range for this position is $35,000-$40,000.

All inquiries may be sent to:

Chie Ryu

UCLA Department of Statistics & Data Science

chie.ryu@stat.ucla.edu

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see:

UC Nondiscrimination & Affirmative Action Policy.

http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs - With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

Ideal candidates will have a Ph.D. in Statistics or a related field, a demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, data science and analytics, methods for analyzing big data and machine learning, and a commitment to excellent teaching.

References will not be required at the time of application.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.