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To help defend our nation, deployed forces, and allies from ballistic missile attacks, the Integrated Missile Defense Technology Group supports the Missile Defense Agency in the development, deployment, testing, and enhancement of the Ballistic Missile Defense System (BMDS). We continuously develop and enhance BMDS elements to enable them to keep up with rapidly evolving threats. Our staff are involved in the development and integration of these elements from the analysis and characterization of the worldwide ballistic missile threat to the fielding of new BMDS capabilities. We perform system and component engineering, algorithm development, advanced technology prototyping, and validation of system performance by means of testing and analysis.

Job Description

Group 36, the Integrated Missile Defense Technology group, seeks a highly motivated individual to join in an outstanding and interdisciplinary team in solving challenging and critically important defense problems through simulation, modeling, algorithm development, hardware prototyping, field testing and analysis.

The successful candidate will be able to work on a broad range of problems, including research in some combination of: modern radar design, adaptive signal and array processing, tracking, statistical inference, and data analysis. The successful candidate will contribute to the group’s efforts in developing and evaluating new radar algorithms in classical areas such as detection and tracking along with more sophisticated objectives like adaptation, characterization, and classification.

Example focus areas include:

- Intelligent incorporation of relevant physical models into learning architectures for target characterization and classification

- Systems analysis and algorithm design for proposed and existing state-of-the-art radar systems

- Closed-loop active sensing to adaptively interrogate a set of targets and environment with an evolving amount of inferred information

- Data engineering using expert knowledge of physics, signal processing, and the latest data management frameworks to enable efficient algorithm development and testing

Requirements

PhD in Electrical Engineering, Computer Engineering, Applied Mathematics, Physics or a related field. In lieu of an PhD, a MS and 3 years of experience will be considered

Recent Graduate Hiring Range: [[gradRange]]

Experienced Hiring Range: [[experiencedRange]]

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—but not limited to—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.

Requisition ID: [[id]]