University of California, Los Angeles — Data Theory Faculty

Open-ranked faculty position (tenure-track Assistant Professor or tenured Associate/Full Professor) split in the Department of Statistics (50%) and Department of Mathematics (50%) at the University of California, Los Angeles. We seek outstanding applicants contributing to the cutting edge development of the mathematical and statistical foundation of data science. 

We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA’s commitment to excellence and diversity. A Ph.D. in Mathematics, Statistics, or a related field is required by date of anticipated appointment of July 1, 2020. Salary will be commensurate with education and experience. 

Reviews for the position will commence on November 15, 2019 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at:  

Please refer to job tracking number JPF04938 on all correspondence. Applicants should submit: 

  1. CV 
  2. Cover letter describing how their qualifications and interests would fit with the position description 
  3. Three representative publications (or preprints) 
  4. Statement of Research 
  5. Statement of Teaching 
  6. Statement of Contributions to Equity, Diversity, and Inclusion 
  7. Three letters of recommendation (optional)

The Statement of Contributions to Equity, Diversity, and Inclusion briefly addresses past and/or potential contributions to diversity through research, teaching, and/or service. 

All inquiries may be sent to Chie Ryu at 

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.