Tech Staff – MIT Lincoln Laboratory

Date: Dec 15, 2018

Location: MA, US

Company: MIT Lincoln Laboratory

The Advanced Undersea Systems and Technology Group develops innovative undersea and undersea-enabled capabilities for transition to operational systems of the US Navy and other Department of Defense (DoD) sponsors. Focus areas include acoustic and non-acoustic sensors, undersea networks, autonomous systems, and advanced signal processing algorithms. The group performs rigorous systems analyses, develops system architectures, and builds prototypes to demonstrate the viability and effectiveness of new concepts, capabilities, and processing techniques.  In addition, the group provides undersea domain and technology expertise to inform and motivate novel cross-domain concept development.

The Advanced Undersea Systems and Technology Group is searching for a candidate to contribute to the development and evaluation of undersea defense systems. The group is considering applicants interested in one or more of the following areas: signal processing and detection, parameter estimation, autonomy, and model development for evaluating algorithms and architectures. The technical staff hired for this position will collaborate on a multi-disciplinary team to identify technology needs, develop candidate solutions, and quantify performance. The technical staff will work with experienced group members to learn about new technology and the undersea mission as well as to identify a growth path toward increased technical contributions and, as desired, project leadership. In addition, the candidate will communicate with a variety of audiences including both technical and non-technical peers and sponsors.


PhD in Electrical Engineering, Physics, Applied Mathematics, Systems Engineering, Oceanographic Engineering, or similar technical field. In lieu of a PhD degree, applicants with an MS and 3 to 5 years of experience will also be considered.


Experience with algorithm-development software (e.g., MATLAB or Python, C, C++).

Requisition ID: 25799

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