Lecturer​/Assistant Professor-in-Residence, Cybersecurity, College of Engineering R0152399

Lecturer / Assistant Professor‑in‑Residence, Cybersecurity, College of Engineering

The Department of Applied and Interdisciplinary Engineering (AIE) at the University of Nevada, Las Vegas (UNLV) invites applications for a 9‑month, non‑tenure track Lecturer or Assistant Professor‑in‑Residence position in Cybersecurity, with expertise in Artificial Intelligence beginning July 1, 2027.

This role primarily involves teaching undergraduate and graduate courses within UNLV’s cybersecurity programs and expanding the integration of artificial intelligence (AI) concepts, tools, and applications throughout the curriculum. The standard teaching load is four courses (12 credits) per semester. Summer teaching opportunities may be available for additional compensation.

• Teach cybersecurity courses and develop/​update curricula.
• Mentor and advise students.
• Support program assessment and accreditation activities.
• Participate in departmental, college, and university service.
• Incorporate contemporary AI technologies and methodologies into education and help prepare students for an AI‑enabled security landscape.

• Master’s degree in Cybersecurity, Artificial Intelligence, Computer Science, Information Systems, Data Science, Information Technology, Computer Engineering, or a closely related field from an accredited institution.
• Academic preparation, professional experience, or technical expertise in artificial intelligence, cybersecurity, or their intersection.

• Ph.D. in a related field.
• Evidence of effective and impactful teaching, especially in online and technology‑enhanced environments.
• Prior academic or industry experience in AI, machine learning, cybersecurity, data analytics, or related fields.
• Expertise in AI technologies such as machine learning, generative AI, agentic AI, CybrAIOps, large language models (LLMs), and data science.
• Experience applying AI techniques to cybersecurity challenges (e.g., threat detection, security analytics, cyber threat intelligence, adversarial machine learning, secure AI systems, AI governance).
• Professional certifications relevant to AI, cloud computing, cybersecurity, or data science.
• Experience developing hands‑on laboratories, projects, or experiential learning activities involving AI and/or cybersecurity.
• Technical skills related to AI, cybersecurity, cloud, data analytics, or software development tools.

Rank depends on credentials: terminal Ph.D. candidates will be considered for Assistant Professor‑in‑Residence; master’s degree holders with less extensive experience will be considered for Lecturer.

Successful candidates will support diversity, equity, and inclusiveness, contribute to a respectful work environment, and demonstrate UNLV’s campus values.

• Competitive salary comparable to similar institutions.
• Competitive total rewards package: paid time off, sick leave, holidays, health insurance (medical, dental, vision), comprehensive retirement plans, voluntary benefits.
• No state income tax.
• Tuition discounts at Nevada System of Higher Education (NSHE) schools for the candidate and eligible spouses, domestic partners, and dependents.
• Employee recognition and appreciation programs.
• UNLV athletics ticket discounts.
• Statewide employee purchase program discounts.
• Rebel Card discounts on and off campus.
• Wellness programming for all UNLV faculty and staff at no cost.
• Career advancement opportunities to leadership roles.
• Personal and professional development opportunities.
• Comprehensive onboarding program (Rebels: Onboard).
• Resources for veteran applicants.

Submit a letter of interest, teaching philosophy statement, detailed resume, and names, addresses, and telephone numbers of at least three professional references. Applications must be submitted electronically through Workday; emailed materials will not be accepted.

The University of Nevada – Las Vegas (UNLV) is committed to providing a workplace free of discrimination on the basis of age, disability, gender, military status, sexual orientation, gender identity, genetic…