MIT Lincoln Laboratory Summer intern in Lexington, Massachusetts
The Surveillance Systems Group pioneers integrated sensing and decision support systems for both Air Traffic Control and Homeland Air Defense. Since the 1970s, this group pioneered significant advancements to the surveillance technology used by the major modern air traffic control radars and airborne collision avoidance systems. Ongoing programs focus on advancing new sensor, data fusion, and net-centric technologies to take new ideas from concept definition through the development and evaluation with an operational prototype. Examples of current system under development include the Ground Based Sense and Avoid (GBSAA) system currently in use by the US Army which uses ground-based surveillance to allow Unmanned Aircraft Systems (UAS) to detect and avoid other air traffic and ACAS X which uses airborne surveillance to replace the existing collision avoidance system on manned aircraft and also provide a detect and avoid solution for larger UAS. To accomplish these goals, this group employs a broad base of analysis, modeling, algorithm development, signal processing, software architecture and development, RF and digital hardware design, and system integration skills.
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 recently received R&D 100 awards in both 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.
A Summer intern is needed with an interest in applied engineering, modeling and simulation and algorithm development to support the development of UAS 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. 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 selected intern will be asked to carry out these tasks under the mentor-ship and supervision of a member of the Lincoln Laboratory staff. At the end of this time period, the student will be expected to present the results of his/her work.
Required qualifications:* Currently enrolled in an accredited college program * Working towards a graduate or undergraduate degree in Engineering (any type) * Experience programming with Matlab * Ability to work in a team environment * Clear communication skills to a wide spectrum of audiences
Desired qualifications:* Experience or interest in developing algorithms and mathematical models in a simulation environment * Experience in other programming languages such at C++ or java
For Benefits Information, click http://hrweb.mit.edu/benefits
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
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.
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