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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

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 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.

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