News
UCLA Statistics/Communication Studies Joint Faculty Search
December 2, 2016

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, Communications, or a related field is required by date of anticipated appointment of July 1, 2017. Salary will be commensurate with education and experience.  Please refer to Tracking Job #JPF02653 on all correspondence.

Reviews for the position will commence on January 2, 2017 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at:

https://recruit.apo.ucla.edu/apply/JPF02653

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 

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

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 chie.ryu@stat.ucla.edu.