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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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learning (ML) techniques, Internet of Things (IoT), and software and cyber security engineering. The group comprises leading experts in software engineering, cyber security, machine learning and cloud/edge
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Information Security FTE 1.0 FLSA Non-Exempt Scope of Job Responsible to learn and acquire fundamental skills in information security principles, practices, and technologies to assist with monitoring and
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student will contribute to research on machine learning, AI security, and real-time embedded computing for cyber-physical systems, with a strong emphasis on the AI and trustworthiness side of the problem
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: Information Security: Mobile security, cyber-physical systems, security analytics, digital forensics, malware analysis, vulnerability assessment, privacy technologies, and AI security. Computer Science and
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review, debugging, QA, test automation tools and frameworks. Strong knowledge of application security testing, including IAST, SAST and DAST. Good knowledge of Machine Learning and Artificial Intelligence
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application. Academic Background: A solid background in one or more of the following areas: Control systems and automation, machine learning and AI, optimization, cyber-physical systems, cybersecurity, and
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, Artificial Intelligence, or distributed systems. Direct experience within AI security, Adversarial Machine Learning, or workload anomaly detection would be a bonus. Findings of this research are intended to be
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learning experiences, and useful, industry-relevant outcomes. We are interested in the security, resilience, and safe operation of real-world industrial systems, particularly in the maritime and energy
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; OR Master’s Degree from an accredited institution and one (1) year related work experience. Related Experience: Experience in cyber security incident management, malware analysis, vulnerability