Social Network Analysis & Pattern Recognition Engineer

Group 62 Information Systems Technology
The Information Systems Technology Group is engaged in a wide range of information processing related projects focusing on speech and language processing and information operations. This group's speech and language processing R&D efforts include speech recognition, speaker recognition (identification, verification, and authentication), language and dialect identification, word spotting, speech coding, speech and audio signal enhancement, and machine translation. The group's information operations R&D efforts focus on techniques for protecting from, and detecting and reacting to, intrusions into networked information systems and for preventing software faults and understanding malicious code that exploits those faults. The group is involved in testing and evaluating the security of U.S. Government systems and networks and in identifying and demonstrating vulnerabilities in such systems. The group is also initiating new R&D in analysis of social networks based on speech, text, and network communications and activities. In each of this group's R&D areas, emphasis is placed on realistic data and experimental evaluation of techniques in test beds.

The Information System Technology Group is seeking a candidate to work with our team on research, technology development, and applications in social network analysis and intent recognition from information which is extracted from multiple sources including text, speech, and network traffic. The research will include extraction of entities and their relationships, and characterization of high-volume streams of multi-media data. The goal is to develop and test new information technology techniques for counter-terrorism.

Requirements:
PhD in Computer Science, Electrical Engineering, or related field, with knowledge and experience desired in pattern recognition, social network analysis, natural language processing, and information extraction techniques. In Lieu of a PhD, a MS in Computer Science, Electrical Engineering or related field and 5 years of directly related experience and knowledge will be considered.

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