Website NEC Laboratories America, Inc.
NEC Laboratories America, Inc. (http://www.nec-labs.com/) conducts research in support of NEC’s US and global business. Our lab has a broad research program that covers many areas and maintains a balance of fundamental and applied research.
The Data Science and System Security Department aims to build novel big data solutions and service platforms that simplify the management of complex systems, from networks to cyber-physical systems, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence, such as: time series mining, graph mining, text mining, anomaly detection, signal processing, and streaming processing. The goal of our research is to understand the dynamics of big data from complex systems and build innovative solutions to help end users manage these systems. We built several analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.
Our group is looking for researchers to work at the intersection of networking and machine learning. The ideal candidate must have a PhD in CS/CE and a strong publication record in at least one of the following areas:
· Data mining and machine learning
· Network management
· 5G networking and IoT
· Network measurements and analysis
NEC Labs is located in Princeton, NJ, home of Princeton University and one of New Jersey’s most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean. For more information about NEC Labs, access http://www.nec-labs.com/ and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3123535.
Equal Opportunity Employer