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Group 105--Summer Research Program Intern - Undergraduate (Airborne Radar System

MIT Lincoln Laboratory
Lexington, MA Intern
POSTED ON 12/14/2024
AVAILABLE BEFORE 2/6/2025
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Group 105--Summer Research Program Intern - Undergraduate (Airborne Radar Systems and Techniques)
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Date: Dec 6, 2024

Location: Lexington, MA, US

Company: MIT Lincoln Laboratory

MIT Lincoln Laboratory is seeking a talented individual to join our dynamic team as a summer research intern. This is an exciting opportunity to work within our inclusive team on the design, development, and implementation of cutting-edge radar signal processing solutions. We're particularly interested in candidates with a background in Electrical Engineering, Computer Engineering, Mathematics, Computer Science, or a related field, who are interested in applying their skills and passion to real-world projects.

As a member of the Airborne Radar Systems and Techniques group at MIT Lincoln Laboratory, you will work on high-performance sensor systems as part of a team with diverse technical backgrounds. We prototype radar and imaging sensors for wide-area surveillance, and work to mature algorithms to detect small objects in challenging environments. Projects typically involve a mix of hardware and software development, as well as algorithm design. Teams work together to understand foundational physical principles, design and build one-of-a-kind sensor systems, architect and execute flight test data collections, develop and integrate novel processing techniques, and explore advanced countermeasures that degrade sensor performance. Staff projects typically partner across the Department of Defense to transition work onto platforms that operate around the globe, and perform impactful and relevant missions.

Responsibilities:
  • Collaborate alongside experienced engineers to create and enhance radar signal processing algorithms that elevate target detection, tracking, and identification capabilities.
  • Gain hands-on experience in analyzing radar data, extracting insights, and improving system performance.
  • Participate in projects that involve the latest advancements in signal processing and radar technology.
  • Develop and simulate signal processing algorithms, using tools like MATLAB, Python, or similar.
  • Have the opportunity to explore real-time algorithm implementation on embedded platforms.
  • Present your contributions and findings to your peers.
Qualifications:
  • Enrollment in an undergraduate degree program for Electrical Engineering, Computer Engineering, Mathematics, Computer Science, or a related field.
  • Enthusiasm for digital signal processing techniques, machine learning, or RF hardware.
  • Basic programming skills in a language such as MATLAB, Python, C/C .
  • Familiarity or interest in radar systems and remote sensing concepts and challenges.
  • Demonstrated effective problem-solving skills, a collaborative mindset, and strong communication abilities.
  • Demonstrated eagerness to learn, innovate, and contribute to a diverse team environment.

Join us in an intellectually stimulating environment where you'll have the opportunity to apply your expertise to real-world challenges in radar signal processing. We value diversity, and encourage applications from candidates of all backgrounds. If you're ready to join a team with a passion for pushing the boundaries of radar technology, we'd love to hear from you!

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:41356


Nearest Major Market: Boston

Job Segment: Defense, DoD, Electrical Engineering, Embedded, Security Clearance, Government, Engineering, Technology

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