Radar Systems & Simulation Analyst — Early Career

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 116,000 - 182,000; Full time

Benefits offered by this job

Health plans

Pension program

401K match

Paid time off

Tuition reimbursement

Mentorship programs

Job summary

MIT Lincoln Laboratory seeks a talented model and simulation researcher to join the Airborne Radar Systems and Techniques group. You will model and analyze the performance of advanced sensor technologies, prototype RF and ancillary sensors, and develop algorithms to detect, track, and image targets in complex environments.

Early career candidates and graduates are encouraged to apply. The role involves working with a team with diverse backgrounds, traveling for field tests, and contributing to

Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or related field.
• Experience in MATLAB, Python, or C/C++.
• Strong communication and problem-solving skills; ability to work independently and in a team.
• Ability to support field tests and travel as needed.

Responsibilities

• Develop physics-based models of RF systems interacting with the environment.
• Collaborate to estimate system performance and compare with data.
• Curate real-world and simulated data sets to test new algorithms.
• Establish quantitative performance metrics from qualitative goals.
• Create visual representations of modeling results for varied audiences.
• Prepare technical documentation and presentations.

Education

Master's degree

Bachelor's with 3 years experience

Tools

MATLAB

Python

C/C++

Job description

MIT Lincoln Laboratory seeks a talented model and simulation researcher to join the Airborne Radar Systems and Techniques group. You will model and analyze the performance of advanced sensor technologies, prototype RF and ancillary sensors, and develop algorithms to detect, track, and image targets in complex environments.

Early career candidates and graduates are encouraged to apply. The role involves working with a team with diverse backgrounds, traveling for field tests, and contributing to