Group 42 -- Summer Research Program Intern - Transportation Research Engineer

Lexington, MA, US

Applications have closed

 

The Surveillance Systems Group (https://www.ll.mit.edu/r-d/air-traffic-control/surveillance-systems) conducts research, development and evaluation of novel surveillance systems and state of the art 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 aircraft (https://www.ll.mit.edu/r-d/projects/airborne-collision-avoidance-system-x) and are currently leading efforts to develop sensing, vehicle to vehicle communications, and decision making under uncertainty software to support the integration of increasingly autonomous systems, such as Uncrewed Aircraft System (UAS) and Advanced Air Mobility (AAM) platforms, into the national airspace. We have received several R&D 100 awards, and our team is composed of world-renowned researchers in the fields of artificial intelligence and surveillance systems. Our team is focused on advancing autonomy and decision support to enable unprecedented changes for both air and surface transportation. To support these efforts, we apply a broad base of analysis, modeling, optimization, and artificial intelligence/machine learning (AI/ML) expertise to develop sensing, architectures, and decision support software to ensure safe and efficient operation of autonomous systems across the broad transportation domain.

 

Job Description

 

A Summer intern is needed with an interest and background in applied engineering, surveillance systems, modeling and simulation, and/or algorithm development to support the development and implementation of safety critical systems to enable safe and efficient integration of increasingly autonomous systems into the transportation system. Example problem areas include analysis and algorithm development for surveillance systems and tracking algorithms, and evaluating system performance for vehicle separation and collision avoidance applications. Responsibilities will include algorithm development and assessment (including AI/ML), modeling, simulation, and/or data analysis. The selected intern will be asked to carry out these tasks under the mentorship of a member of the Lincoln Laboratory technical staff. At the end of this time period, the student will be expected to present the results of their work. Previous summer interns have published their work in peer-reviewed venues as well; however, this is not guaranteed.

 

Required qualifications:

 

  • Currently enrolled in an accredited college program
  • Working towards a graduate or undergraduate degree in Engineering (any type), Computer Science, Physics or Mathematics or a similar field
  • Proficient at high-level prototyping software languages (e.g., MatLab, Python, Julia)
  • Demonstrated ability to collaborate well as part of a team with good interpersonal skills
  • Demonstrated ability to communicate clearly to a wide spectrum of audiences

 

Desired qualifications:

 

  • Experience or interest in developing and evaluating algorithms (especially AI/ML) and mathematical models in a simulation environment
  • Knowledge in the fields of probability theory and software development
  • Exposure to or experience with databases (e.g., PostgreSQL, PostGIS) and other programming language (e.g., C, C++)
  • Experience processing and analyzing large sets of real-world data
  • Exposure to the air, surface, or maritime transportation domain

 

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.

 

Requisition ID: 40865 

Job stats:  18  4  0

Tags: Architecture Computer Science Data analysis Engineering Julia Machine Learning Mathematics Matlab Physics PostgreSQL Probability theory Prototyping Python R R&D Research Security

Perks/benefits: Career development

Region: North America
Country: United States

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