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MIT Lincoln Laboratory Postdoctoral Associate in Lexington, Massachusetts

The Lincoln Laboratory Artificial Intelligence Technology (AIT) Group develops fundamental, cross-cutting and enabling AI technologies to solve complex challenges and advance AI for the nation. In close collaboration with groups across the Lab and with the academic community, especially MIT, our research team is working at the frontier in AI research with application to both traditional Laboratory technology areas and missions, as well as emerging applications of AI such as materials science and biotechnology. The group is also chartered with building responsible AI to enable complex decision-making by teams of humans and machines, and educating the workforce of the future to speed-up the adoption of AI in key national security domains.

Our research team includes many of the Laboratory’s top AI experts from across various lab mission areas with expertise in deep learning architectures, adversarial learning, probabilistic programming, reinforcement learning, network science, multi-modal data fusion and autonomous systems. Our team has access to large amounts of data and the largest AI supercomputer at any university in the world. The data and the compute capabilities provide ample opportunities to do research at scale on both closed and publicly available datasets. We provide a vibrant collaborative research environment with close ties to academia and sponsors with critical mission needs.

Job Description

This is a two-year post-doctoral associate position in which the candidate will develop novel techniques to apply machine learning and artificial intelligence algorithms. Particularly, we are looking for candidates with interest in developing tools that can be used to apply AI and ML techniques to areas of materials science and advanced materials design.

Additional responsibilities may include student advising/mentoring and authoring or coauthoring technical presentations, reports and manuscripts for peer-reviews conferences and/or journals. The candidate will work in a fast-based environment as a member of multidisciplinary teams consisting of PhD-level scientists, faculty and engineers.

REQUIREMENTS: PhD in Physics, Materials Science, Electrical Engineering, Mathematics, Computer Science or related field. Candidate must have demonstrated experience and interest in materials science with a background in statistics, machine learning or artificial intelligence applications. Candidates with strong mathematical foundations and interest in working with diverse problems are highly desirable. Candidate must have excellent organizational, analytical and problem solving skills, as well as strong presentation skills and the ability to work both individually and as part of a team.

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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.

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason.

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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