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. We are the world expert in airborne collision avoidance systems for manned aircraft and are currently leading efforts to develop systems to support integration of Unmanned Aircraft Systems (UAS) and Urban Mobility platforms into the US National Airspace System. Integrating UAS into the airspace is a national priority and a key research area for the group. We were recently received R&D 100 awards in 2016 and 2017 for developments in detect and avoid systems. 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 we apply a broad base of analysis, modeling, optimization and machine learning to develop sensing architectures and decision support tools to ensure safe and efficient operation of autonomous systems.

We are looking for applicants with an interest and background in applied engineering, modeling and simulation and algorithm development to support the development ofUAS Detect and Avoid systems that may incorporate radar and optical sensors and cooperative surveillance such as beacon surveillance and Automatic Dependent Surveillance - Broadcast (ADS-B). 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. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions. Additional responsibilities may include participation in test planning and flight test operations, as well as analysis and presentation of data collected during field tests. The candidate hired for this position will use a variety of tools such as MATLAB/Julia or C++ and work as part of an interdisciplinary team.

Requirements:

Required qualifications:

  • Bachelor's degree in engineering, physics, Mathematics, or computer science

  • Experience programming with Matlab

  • Ability to work in a team environment

  • Clear communication skills to a wide spectrum of audiences Desired qualifications

Desired qualifications:

  • Experience developing algorithms and mathematical models in a simulation environment

  • Knowledge in the fields of probability theo ry and software development

  • Experience in other programming languages such as C++ or java

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.