The Advanced RF Techniques and Systems Group develops and demonstrates new algorithms, architectures, and hardware implementations for processing signals for a broad range of RF system applications, including advanced wireless communications and signals intelligence. The group's core competencies include developing algorithms and system concepts for communication, signal detection, localization, and classification in challenging environments, as well as hardware implementations and prototypes of these advanced RF systems. The group has expertise in adaptive antenna array processing, signal detection and estimation, pattern recognition multichannel communications, wideband sampling techniques, antenna and RF subsystem design, and systems analysis. The staff members have advanced degrees in electrical engineering, physics, and applied mathematics. To support concept development and evaluation, the group conducts a significant amount of field tests and data collection campaigns, and collaborates with other groups within the division and throughout the Laboratory in real-time prototype implementation, experiment execution, and systems analysis. The Group seeks a summer intern to actively contribute towards signal processing designs and analysis for communication as well as other systems. The individual will typically work with a mentor who will guide and direct their work. The individual with be exposed to various aspects of MIMO and relay communications, signal detection, and emerging cutting edge processing algorithms and techniques. The successful candidate will be pursuing a Ph.D. in Electrical Engineering, Computer Engineering or Computer Science. Candidate should have Experience with MATLAB. Must be willing to work in a team environment. Experience with communication theory and communication system design will be considered favorably.MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Associated topics: artificial intelligence, chip, circuit, electronic engineering, information technology, linux, malware, python, radar, robotics