Preferred Qualifications: Preference will be given to candidates who demonstrate one or more of the following: A strong and sustained research record in Artificial Intelligence, Cybersecurity, or AI-enabled cybersecurity appropriate to the rank sought; Experience applying AI techniques to cybersecurity problems or addressing security, privacy, robustness, and trust challenges associated with AI-enabled systems; A demonstrated record of securing externally funded research from federal agencies, industry, or other sponsors, with the capacity to lead collaborative and interdisciplinary research initiatives; Experience with emerging AI technologies, including generative AI and large language models, and their security implications; Ability to collaborate with researchers across engineering, cybersecurity, data science, health, science, and other disciplines; Experience developing new undergraduate and graduate courses in Artificial Intelligence, Cybersecurity, and related emerging areas; Experience developing and teaching courses in face-to-face, online, or hybrid modalities; Experience mentoring undergraduate and graduate students in research and scholarly activities; Industrial, government, or national laboratory experience. Areas of interest include, but are not limited to, AI-enabled cybersecurity, security and trustworthiness of AI systems, adversarial machine learning, generative AI and large language model security, intelligent threat detection, privacy-preserving AI, and secure and resilient cyber-physical systems.