Lecturer / Assistant Professor-in-Residence, Cybersecurity, College of Engineering [R0152399]
The University of Nevada, Las Vegas (UNLV) appreciates your interest in employment. We ask that you keep in mind the following when completing your application:
- Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process.
- Required attachments are listed below on the posting. Your application will not be considered without the required attachments.
- Please note that applications must be submitted prior to the close of the recruitment.
Once a recruitment has closed, applications will no longer be accepted. If you need assistance or have questions regarding the application process, please contact Human Resources at (702) 895-3504 or unlvjobs@unlv.edu.
Job Description
The University of Nevada, Las Vegas invites applications for Lecturer / Assistant Professor-in-Residence, Cybersecurity, College of Engineering [R0152399].
ROLE of the POSITION
The Department of Applied and Interdisciplinary Engineering (AIE) in the Howard R. Hughes College of Engineering 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.
The successful candidate will primarily teach undergraduate and graduate courses within UNLV's cybersecurity programs while helping expand the integration of artificial intelligence (AI) concepts, tools, and applications throughout the cybersecurity curriculum. The standard teaching load for this position is four courses (12 credits) per semester during the academic year. Summer teaching opportunities may be available for additional compensation.
Primary responsibilities include teaching cybersecurity courses; developing and updating curriculum; mentoring and advising students; supporting program assessment and accreditation activities; and participating in departmental, college, and university service. The successful candidate will be expected to incorporate contemporary AI technologies and methodologies into cybersecurity education and help prepare students to operate effectively in an increasingly AI-enabled security landscape.
Candidates should possess expertise in machine learning, generative AI, large language models (LLMs), agentic AI, CyberAIOps, Secure AI systems, data analytics, or related areas, with an interest in applying these technologies to cybersecurity education and practice. Areas of instructional contribution may include AI-assisted cyber defense, security analytics, threat detection, cyber threat intelligence, secure AI systems, adversarial machine learning, AI governance, responsible AI, or other emerging intersections of AI and cybersecurity.
This position is housed within the Department of Applied and Interdisciplinary Engineering, which prepares students for engineering and technology careers through hands-on, experiential learning programs developed in close partnership with industry. The department offers innovative, workforce-focused programs spanning construction management, information technology, cybersecurity, mechatronics, and the world's first ABET-accredited entertainment engineering program. A nimble and interdisciplinary culture enables the department to rapidly respond to workforce needs while maintaining a strong commitment to student success.
The successful candidate will contribute to the continued growth of UNLV's cybersecurity programs and support strategic initiatives related to the National Security Agency's National Centers of Academic Excellence in Cybersecurity program, including emerging efforts associated with Cyber AI education, workforce development, and curriculum innovation.
MINIMUM QUALIFICATIONS
This position requires a minimum of a 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 college or university as recognized by the United States Department of Education and/or the Council for Higher Education Accreditation (CHEA). Candidates must demonstrate academic preparation, professional experience, or technical expertise in artificial intelligence, cybersecurity, or the intersection of these disciplines. Credentials must be obtained prior to the start date of employment.
PREFERRED QUALIFICATIONS
Applicants with one or more of the following qualifications will be given preference:
- A PhD in Cybersecurity, Artificial Intelligence, Computer Science, Information Systems, Data Science, Computer Engineering, or a closely related field from an accredited college or university
- Evidence of effective and impactful teaching, particularly in online and technology-enhanced learning environments
- Prior academic or industry experience in artificial intelligence, machine learning, cybersecurity, data analytics, or related fields
- Demonstrated expertise in artificial intelligence technologies, including machine learning, generative AI, agentic AI workflow, CybrAIOps, large language models (LLMs), data science, or related areas
- Experience applying artificial intelligence techniques to cybersecurity challenges, including threat detection, security analytics, cyber threat intelligence, adversarial machine learning, secure AI systems, AI governance, or responsible AI
- Professional certifications relevant to artificial intelligence, cloud computing, cybersecurity, data science, or related technical disciplines
- Experience developing hands-on laboratories, projects, simulations, or experiential learning activities involving artificial intelligence and/or cybersecurity technologies
- Technical skills related to the use, development, and instruction of artificial intelligence, cybersecurity, cloud, data analytics, or software development tools.
POSITION RANK
The position title will be determined based on the candidate's academic credentials and professional experience. Candidates holding a terminal PhD degree will be considered for appointment as Assistant Professor-in-Residence. Candidates holding a master's degree with less extensive professional or teaching experience will be considered for appointment as Lecturer.
COMMITMENT to DIVERSITY and CAMPUS VALUES
A successful candidate will support diversity, equity, and inclusiveness and contribute to a respectful, positive work environment. They will use our Campus Values to guide their decisions and actions and demonstrate our Rebel spirit.
SALARY
Salary competitive with those at similarly situated institutions.
BENEFITS OF WORKING AT UNLV
- Competitive total rewards package including:
- Paid time off, sick leave, and holidays
- Excellent health insurance including medical, dental and vision
- Comprehensive retirement plans and voluntary benefits programs
- No state income tax
- Tuition discounts at Nevada System of Higher Education (NSHE) schools
- Tuition discounts for spouses, domestic partners, and dependents
PERKS & PROGRAMS
- Employee recognition and appreciation programs
- UNLV athletics ticket discounts
- Statewide employee purchase program discounts
- RebelCard discounts on and off campus
- Wellness programming for all UNLV faculty and staff at no cost
- Opportunity for career advancements to leadership roles
- Connect with colleagues with shared interests
- Personal and professional development opportunities
- A comprehensive onboarding program, Rebels: Onboard
- Support and resources available for veteran applicants — contact vetjobseekers@unlv.edu or visit our Veterans Webpage.
HOW TO APPLY
Submit a letter of interest, teaching philosophy statement, a detailed resume listing qualifications and experience, and the names, addresses, and telephone numbers of at least three professional references who may be contacted. References will not be contacted until the search chair notifies you in advance.
Applicants should fully describe their qualifications and experience, with specific reference to each of the minimum and preferred qualifications. The teaching philosophy statement should demonstrate the evidences of teaching effectiveness like past evaluations, sample syllabi or specific labs developed.
Applicants should fully describe their qualifications and experience, with specific reference to each of the minimum and preferred qualifications because this is the information on which the initial review of materials will be based. Materials should be addressed to Greg Moody, Search Committee Chair.
Although this position will remain open until filled, review of candidates’ materials will begin on September 1, 2026.
Applications must be submitted electronically through Workday. Please note that emailed materials will not be accepted.
Veterans are encouraged to apply. UNLV values the skills of those who have served. Learn more at Veterans Webpage or contact vetjobseekers@unlv.edu for support.
For assistance with the application process, please review instructions on How to Apply. For further assistance contact UNLV Human Resources at (702) 895-3504 or UNLVJobs@unlv.edu.
SPECIAL INSTRUCTIONS FOR INTERNAL NSHE CANDIDATES
UNLV employees or employees within the Nevada System of Higher Education (NSHE) MUST use the “Find Jobs” process within Workday to find and apply for jobs at UNLV and other NSHE Institutions. Once you log into Workday, type "Find Jobs" in the search box which will navigate to the internal job posting site. Locate this specific job posting by typing the job requisition number, “R0152399” in the search box.
If you complete an application outside of the internal application process, your application will be returned and you will have to reapply as an internal applicant which may delay your application.
PROFILE of the UNIVERSITY
Founded in 1957, UNLV is a doctoral-degree-granting institution comprised of...