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What We Do SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. SEI works closely with academia, defense
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lab employees including assignment of day-to-day duties. Assists with hiring. May program software in support of job functions. Perform research in the area of machine learning for robotics and video
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at the intersection of machine learning and game theory. The RA will assist in developing and analyzing algorithmic models of strategic behavior, incentive design, and decision-making under uncertainty. Core
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lab employees including assignment of day-to-day duties. Assists with hiring. May program software in support of job functions. Perform research in the area of machine learning for robotics and video
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machine shop, woodshop, and rapid fabrication lab that are located adjacent to each other, and staff frequently support student activities across all areas. Responsibilities: Teach and supervise students in
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strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI: Research and implement machine learning principles, techniques
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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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engaged in the education, research, and administration efforts of the university. We are a learning organization and approach successes and mistakes as a learning experience to continually cultivate a
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to the department by providing support for an industry-sponsored project focused on optimizing distributed healthcare supply chains using AI and analytics. Core responsibilities include: Help build machine learning
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measuring instruments. Familiarity with general machine shop equipment and practices. A strong interest in and a learning orientation towards advanced manufacturing technologies and processes. Experience in