The Surveillance Systems Group ( https://www.ll.mit.edu/r-d/air-traffic-control/surveillance-systems) 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 (https://www.ll.mit.edu/r-d/projects/airborne-collision-avoidance-system-x) 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 (https://www.rd100conference.com/awards/winners-finalists/6466/acas-xu/) 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.
The Surveillance Systems Group conducts research on integrated sensing and decision support architectures for Air Traffic Control. These research efforts include systems analyses, development of software tools to support those analyses, and development of new systems to acquire and process aviation data and live and post-processing activities. The group is currently performing research and development into the impact of new generations of secondary surveillance systems on the National Airspace System (NAS), with two major approaches. In the initial approach, the Project Team is analyzing system architecture, implementation, and operational-use concepts to assess the impacts of proposed new systems on the NAS. The results of this research are used to analytically estimate the effects the proposed new systems would have on the performance of already-deployed NAS systems.
The Group is also developing a suite of simulation tools to assess the impact of new or modified systems on the National Airspace in a high-fidelity simulated environment, called the NAS Surveillance Framework (NSF). When complete, the NSF will include software models of all surveillance elements of the NAS, as well as the safety systems that operate in that surveillance environment. It will also include models of new-generation military surveillance systems that are the subjects of analyses for which the NSF is being developed. The NSF will be used to assess those new systems' impacts quantitatively in a secure simulation environment.
An electrical engineer or radar engineer is needed to support the NSF Development team in the development and analysis of surveillance architectures that will span areas related to safe, efficient, and secure air traffic surveillance, situation assessment, and collision avoidance for conventional and unmanned aircraft. The successful candidate will support analyses of proposed new sensors and in the development of the NSF, as well as use NSF results to assess the impact of new surveillance systems on the NAS prior to actual operation in the NAS.
Activities will include participation in surveillance systems analyses, system modeling, simulation, and data analysis. Candidates must possess the skills to analyze operational problems in detail and to develop deployable solutions. Additional responsibilities include participation in test planning and flight test operations, including test execution, data collection, and data analysis 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.
* Bachelor's Degree in electrical or aeronautical engineering, physics, Mathematics, computer science is required. * Experience programming with MATLAB * Ability to work in a team environment * Clear communication skills to a wide spectrum of audiences
* Experience developing algorithms and mathematical models in a simulation environment * Experience with secondary radar systems * Knowledge in the fields of electro-magnetic theory, probability theory and software development * Experience in other programming languages such as C++ or java
For Benefits Information, click http://hrweb.mit.edu/benefits
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.
Requisition ID: 25920
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