Radar Systems Analyst-Associate Staff

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 116,400 - 182,200; Full time

Benefits offered by this job

Health, dental, and vision plans

MIT-funded pension

Matching 401K

Paid leave (vacation, sick, parental,)

Job summary

MIT Lincoln Laboratory is seeking a model and simulation researcher to contribute to the Airborne Radar Systems and Techniques group. You will model RF systems, analyze performance, prototype sensors, and help develop algorithms for detecting and tracking targets in complex environments.

The role involves collaborating with diverse experts, preparing technical documentation, and supporting field data collections and system demonstrations, with occasional travel.

Qualifications

• Master’s degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or a related field; or a Bachelor’s with 3 years of relevant work experience.
• Experience in programming languages such as MATLAB, Python, or C/C++.
• Strong communication and teamwork skills with ability to work independently or collaboratively.
• Willingness to support field tests, data collection campaigns, and system demonstrations with occasional travel.

Responsibilities

• Develop physics-based models of radio frequency systems interacting with the environment.
• Collaborate with staff to estimate system performance and compare modeled vs observed 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 diverse audiences.
• Prepare technical documentation, test plans, reports, and presentations.

Skills

MATLAB

Python

C/C++

Education

Master's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or related field; or Bachelor's with 3 years of experience

Tools

MATLAB

Python

C/C++

Job description

MIT Lincoln Laboratory is seeking a talented model and simulation 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.

Responsibilities

• Develop physics-based models of radio frequency systems interacting with the environment
• Collaborate with experienced staff to estimate system performance, assess the impact of design changes, and compare modeled performance with observational data
• Curate real‑world and simulated data sets to test the performance of new algorithms
• Establish quantitative performance metrics from qualitative performance goals
• Create and adapt visual representations of modeling results that convey the outcomes for a variety of audiences
• Prepare technical documentation, including test plans, reports, and technical presentations

Minimum Qualifications

• Master’s degree in Electrical Engineering, Computer Engineering, Mathematics, Physics, or a related field. In lieu of a Master’s, a Bachelor’s degree with 3 years of relevant work experience will be considered
• Experience in programming languages such as MATLAB, Python, or C/C++
• Effective organizational and problem‑solving skills with the ability to work independently as well as collaboratively with a team
• Strong communication skills, including ability to convey research goals, processes, accomplishments, and technical concepts to both technical and non‑technical audiences
• Ability to support field tests, data collection campaigns, and system demonstrations with occasional travel

Academic Background and Courses

• 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

Salary

Recent Graduate Hiring Range: $116,400 - $140,000

Experienced Hiring Range: $116,400 - $182,200

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

Benefits

• Comprehensive health, dental, and vision plans
• MIT‑funded pension
• Matching 401K
• Paid leave (including vacation, sick, parental, military, etc.)
• Tuition reimbursement and continuing education programs
• Mentorship programs
• A range of work‑life balance options... and much more!

Selected candidate will be subject to a pre‑employment background investigation and must be able to obtain and maintain a Top Secret level security clearance with compartmented program eligibility.

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: 42765