Postdoctoral Associate - Lexington - job 1913023

Date: 05/24/2022

City: Lexington, Massachusetts

Employment type: Full-time


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, e.g. health informatics, computer vision, and time series analysis. 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.




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, and co-publish results in academic conferences. Particularly, we are looking for candidates interested in developing and applying cutting-edge AI/ML techniques, such as self-supervised learning, domain transfer, attention-based models, adversarial learning, to health informatics, computer vision, and time series analysis applications.




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 Computer Science, Electrical Engineering, Mathematics, or related field. Candidate must have demonstrated experience in machine learning, deep learning or artificial intelligence. Experience in deep learning libraries (e.g. PyTorch/TensorFlow) highly desired. Candidate must have excellent analytical and problem-solving skills, as well the ability to work as a strong individual contributor and as part of a team.






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

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