Open-ranked faculty position (tenure-track Assistant Professor or tenured Associate/Full Professor) split in the Department of Statistics (50%) and Department of Communication Studies (50%) at the University of California, Los Angeles. We seek outstanding applicants contributing to the cutting-edge development of the intersection between machine learning and large datasets of multimodal human communication in social and mass media. We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA’s commitment to excellence and diversity. Ph.D. in Statistics, Communication, or a related field is required by date of anticipated appointment of June 30, 2016. Salary will be commensurate with education and experience. Please refer to Tracking Job #JPF01896 on all correspondence.
Reviews for the position will commence on Feb. 1, 2016 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit 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 at
Applicants should submit:
1) Curriculum vitae
2) Cover letter describing how their qualifications and interests would fit with the position description
3) Two representative publications (or preprints)
4) Statement of research
5) Statement of teaching
6) Three-four letters of recommendation (or for especially distinguished figures, a list of 3-4 individuals who can serve as a reference)
All inquiries may be sent to Chie Ryu at [log in to unmask]" href="mailto:%63%68%69%65%2e%72%79%75%40%73%74%61%74%2e%75%63%6c%61%2e%65%64%75" style="color: rgb(102, 102, 102); text-decoration: none;">[log in to unmask].