Postdoc Position in Big Data Analytics A Postdoctoral Research Associate position in Big Data Analytics (http://ganges.usc.edu) is open for appointment at the Ming Hsieh Department of Electrical Engineering (Computer Engineering), University of Southern California, Los Angeles. The postdoc will lead a team of graduate students in performing independent research on information extraction and analysis of large heterogeneous data sources with techniques from data mining and scalable machine learning and apply these to address challenges in the energy sector. The position will also involve management of existing projects, with regular reporting and presentations of project progress to sponsors. The postdoc will be expected to collaborate with faculty and other researchers in writing innovative research proposals to funding agencies such as NSF, DARPA, and DoE. The position will provide the opportunity to participate in the activities of The Center for Energy Informatics (CEI), one of the first institutions to conduct exploratory and applied research into information collection, integration, management, and analysis of energy assets to enhance energy sustainability. The center, led by Viktor Prasanna (Professor, EE and CS, USC), brings together USC experts from the departments of Electrical, Civil, Environmental and Chemical engineering, Computer Science, Sociology and Office of Sustainability. The position is ideally suited for candidates interested in advancing to a faculty or industrial research career. We invite candidates with a research background in any of the following areas: Big Data management, machine learning, data mining, databases, and Semantic Web. Experience in working on inter-disciplinary and team projects is a plus. Applicants must have earned a Ph.D. or foreign equivalent in a relevant field at the time of appointment. In addition to technical skills, applicants must also have demonstrated written and oral communication skills (publications, presentations, talks, etc.). The candidate will work under the guidance of Prof. Viktor Prasanna (http://ceng.usc.edu/~prasanna). The successful candidate is expected to start in Fall 2015. Applicants should email their detailed CV, list of references, three representative publications, and a brief research statement to [email protected]. Center for Energy Informatics, Viterbi School of Engineering, University of Southern California, Los Angeles CA 90089 cei.usc.edu