The machine learning group at UCLA, led by Fei Sha (
http://web.cs.ucla.edu/~feisha/) and Ameet Talwalkar (
http://web.cs.ucla.edu/~ameet/) , has 1-2 open postdoctoral positions.
We seek applicants from all areas of machine learning. Candidates must hold a PhD in computer science, statistics or a closely related discipline, and have a strong publication record in top conferences and journals (NIPS, ICML, JMLR, etc.). The expected start date is late Spring and can be flexible.
The postdoctoral researcher is to interact and collaborate closely with both faculty and graduate students in the research group. While the research group has a rich set of ongoing research projects, the postdoctoral researcher is also encouraged to be independent and develop his/her own research agenda that complements existing research endeavors. Quality of research is the ultimate criterion.
The UCLA CS department is rapidly growing with core strengths in machine learning, artificial intelligence, bioinformatics, data science, computer vision and robotics. UCLA provides a thriving research environment with interdisciplinary activities between these areas and others, and with cross-cutting collaborations among various departments and schools on campus.
The campus is located on the west side of Los Angeles, with convenient access to beaches / mountains / national parks and a fantastic assortment of cultural diversity and activities throughout the metropolitan LA area. UCLA is also in close proximity to many other renowned academic institutions such as Caltech, USC, and other UC campuses.
Interested candidates should email Fei Sha (feisha at cs.ucla.edu) and Ameet Talwalkar (ameet at cs.ucla.edu) with their CVs, research statements and a list of reference letter writers.