Postdoctoral Scholar - University of Southern California Information Sciences Institute

The successful candidate will work on a federally sponsored project together with a team of experts in machine learning, computer science, and social sciences, in collaboration with Emilio Ferrara, Kristina Lerman, and Aram Galstyan.

The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, students and staff that make the university what it is.

This position is located in Marina del Rey, CA

Information Sciences Institute (ISI), part of the Viterbi School of Engineering at USC, seeks applicants for a Postdoctoral Researcher position with a focus on modeling and forecasting with multivariate and heterogeneous time series data. The positions are for one year, with possibility of a renewal for two more years.

The successful candidate will work on a federally sponsored project together with a team of experts in machine learning, computer science, and social sciences. The central objective is to develop an algorithmic framework for analyzing multivariate time-series data, and generating forecasts about various events of interests from two broad categories:
Socio-political and societal events (elections, epidemics, etc.); and cybersecurity events (large scale security breaches, new viral malware, etc.). The successful applicant is expected to develop and validate novel forecasting algorithms based on heterogeneous and high-dimensional data streaming from various sources. This research is intrinsically inter-disciplinary and qualified applicants with PhD’s in any mathematical field will be considered, although the preference will be given to applicants with background/experience in machine learning and/or time-series modeling/forecasting.

The University of Southern California values diversity and is committed to equal opportunity in employment.