Engineering-Assistant Staff

Position Description

MIT Lincoln Laboratory is seeking a talented researcher to join our dynamic team.  As a member of the Airborne Radar Systems and Techniques group at MIT Lincoln Laboratory, you will work on world-class sensor systems as part of a team with a variety of technical backgrounds. We model and analyze the performance of new technologies, prototype radio frequency and complimentary sensors, design and execute data collections, and develop algorithms to detect, track, and image challenging targets within complex environments.  Our models and algorithms benefit from access to a one-of-a-kind interactive supercomputer.  Our prototypes and data collections are enabled by highly adaptable test infrastructure including two airborne radar testbeds—including a turboprop aircraft equipped with an advanced radar, visible and infrared imaging system, communications systems, and real-time data processors—and modern jammers.

Early career candidates and recent graduates are strongly encouraged to apply, and if selected, will work alongside experienced group members to learn about our mission areas and identify career growth paths. We are particularly interested in candidates with a relentless curiosity and strong technical foundation in Electrical or Computer Engineering, Mathematics, Physics, or a related field.

Responsibilities

• Utilize and develop tools in MATLAB, Python, or similar languages for analysis, data processing, modeling, and simulation
• Collaborate with experienced staff on the development, integration, and testing of prototype systems
• Contribute to the design and execution of experiments that include both ground-based and airborne sensors
• Assist in preparation of technical documentation, including test plans, interface control documents, reports, and technical presentations

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or a related field.
• Experience in programming languages such as MATLAB, Python, or C/C++
• Strong organizational and problem-solving skills with the ability to work independently as well as collaboratively with a team
• Effective communication skills, including ability to convey research goals, processes, accomplishments, and technical concepts
• Ability to participate in field tests, data collection campaigns, and system demonstrations with occasional travel

Our team has a wide variety of professional experiences and educational backgrounds that enable us to find creative solutions to challenging real-world problems.  We value university research experience, undergraduate thesis work, journal or conference submissions, and capstone or senior design projects.  Applicants are not expected to have experience in all the following areas, however, a deep understanding of some and the desire and ability to learn others is expected.

• Physical science courses including classical mechanics, electromagnetism, waves and optics, and mathematical methods for scientists
• Mathematics courses including calculus, linear algebra, differential equations, probability, and statistics
• Engineering courses including analog circuits, digital signal processing, numerical methods and algorithms, communications systems, remote sensing, and robotics

Join us in an intellectually rewarding, collaborative environment where you will further develop and apply your technical skills to real-world challenges.  We value differences and encourage applications from candidates of all backgrounds. If you are ready to join a team with a passion for pushing the boundaries of technology, we would love to hear from you!