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machine learning, robotics, embedded and cyber-physical systems, communications and networking, signal processing, semiconductor and VLSI design, quantum computing, and emerging hardware technologies
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and facilities in high-performance computing, machine learning and artificial intelligence, human-system interaction, network science, sensing, large-scale structural testing, materials manufacturing
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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About the Opportunity Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach
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Lecturer - Electrical and Computer Engineering About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and
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energy materials, aligned with CHIPS-Act priorities. Anchored in Boston, the theme builds on cross-college collaboration among COE (College of Engineering), Khoury College of Computer Sciences, Mills
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career specialist for students pursuing full-time roles in software engineering, data science, artificial intelligence, machine learning, cybersecurity, IT, and adjacent fields including media, arts
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, and industry workforce trends, with a particular emphasis on next-generation and AI-integrated curriculum design Familiarity with the application of AI tools — including machine learning, simulation
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tools - including machine learning, simulation, and data analysis - in engineering practice and education Broad knowledge across multidisciplinary engineering domains including mechanical, thermal
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software engineering, data science, artificial intelligence, machine learning, cybersecurity, IT, and adjacent fields including media, arts, architecture and gaming. As a core member of the Career Education