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  • 33: Technical Staff - HF Radar Engineer

    MIT Lincoln Laboratory (Lexington, MA)



    Apply Now

    The Advanced Sensor Systems and Test Beds Group (Group 33) conducts exciting research in the development and demonstration of advanced sensor systems and command and control (C2) architectures for the U.S. Government. The group incorporates emerging technologies in autonomy, distributed systems, signal and data processing algorithms, and open system architectures into system design concepts, enabling innovative solutions to complex problems. Major activities within the group include RF system design and development, system modeling and simulation, signal processing algorithm development, experimental field testing and data analysis, and development of one-of-a-kind operational and experimental test assets. The group emphasizes collaborative research, and has expertise in technical fields including HF radar and communications, adaptive signal processing, space-time adaptive processing, Kalman filtering, radar systems analysis, CFAR detection, bistatic radar, real-time signal processing, and flight test mission planning and execution. Our technical staff members hold advanced degrees in electrical engineering, physics, applied mathematics, and computer science. The group also conducts local and international field testing and data collection to investigate and demonstrate new concepts.

    Job Description

    Group 33 seeks a technical staff member, with interest in any of the following fields: HF Over-the-Horizon radar, adaptive signal processing, ionospheric phenomenology and modeling, radar systems engineering, and program development and management. The successful candidate will contribute to the group’s efforts in developing new radar applications, and also collaborate on diverse and multi-disciplinary teams to design, build, and test HF radar systems for these new applications. Additional research areas include large-scale instrumentation radars for missile defense and space domain awareness and airborne surveillance radar. Candidates should be comfortable proposing and exploring innovative radar techniques and technologies, and understand how such technologies can impact an existing radar system’s capability.

    Required Expertise

    PhD degree in electrical engineering, applied mathematics, physics, computer science or related technical field, with 3 or more years of relevant experience in HF radar, adaptive signal processing, ionospheric phenomenology, radar systems engineering, or program development and management. In lieu of a PhD degree, an MS degree with 5 years of relevant experience will be considered. The successful candidate must be able to obtain an elevated level of security clearance and have the ability to communicate and work effectively with colleagues, sponsors, and other research organizations.

     

    At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

     

    + 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!

     

    Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

     

    Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Top 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: [[id]]

     


    Apply Now



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