MIT Lincoln Laboratory Asst Staff - Engineering in Lexington, Massachusetts

The Surveillance Group conducts research on integrated sensing and decision support architectures to support safe and efficient air and surface transportation. The group is currently leading efforts to develop a next generation airborne collision avoidance system for commercial aircraft and unmanned aircraft systems (UAS). Integrating UAS into the airspace is a national priority and a key research area for the group. Advances in autonomy and decision support will bring forth unprecedented changes to safety and efficiency for both air and surface transportation. To support these efforts our Group applies a broad base of analysis, modeling, optimization and machine learning to develop sensing architectures to ensure safe and efficient autonomous systems.

The Surveillance Systems Group conducts research on integrated sensing and decision support architectures to support safe and efficient air and surface transportation. The group is currently leading efforts to develop a next generation airborne collision avoidance system for commercial aircraft and unmanned aircraft systems (UAS). Integrating UAS into the airspace is a national priority and a key research area for the group. Advances in autonomy and decision support will bring forth unprecendented changes to safety and efficiency for both air and surface transportation. To support these efforts our Group applies a broad base of analysis, modeling, optimization and machine learning to develop sensing architectures to ensure safe and efficient autonomous systems.

A research and development position is currently open to support the development of surveillance and decision support systems that may incorporate radar and optical sensors and cooperative surveillance such as beacon surveillance and Automatic Dependent Surveillance - Broadcast (ADS-B). Work will span areas related to safe, efficient, and secure air traffic surveillance, situation assessment, and collision avoidance for conventional and unmanned aircraft. Example problem areas include analysis and algorithm development for surveillance and tracking algorithms, collision avoidance logic, and evaluating system performance for aircraft separation and unmanned aircraft system (UAS) collision avoidance applications. Activities will include algorithm development and assessment, modeling, simulation, and data analysis. Candidates should have general knowledge in the fields of probability theory and software development. Candidates must possess the skills to analyze the operational problems in detail and to develop deployable solutions. Additional responsibilites include participation in test planning and flight test operations, as well as analysis and presentation of data collected during field tests. Will use a variety of tools such as MATLAB/Julia or C++ and work as part of a team.

Requirements:

BS in engineering, physics, Mathematics, or computer science is required. Experience programming with Matlab is required and experience with C++ is desired.

Experience developing algorithms and mathematical models in a simulation environment is desired. A proven track record that demonstrates ability to work with internal and external organizations in a team environment and demonstration of excellent communication skills to convey technical concepts in a clear, concise manner in written and oral forms are required.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employmnet 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.

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.