Assistant Professor in Cybersecurity

University of the Incarnate Word; San Antonio (TX); On-site; USD 66,000 - 80,000; Full time

Job summary

University of the Incarnate Word seeks a tenure‑track Assistant Professor in Cybersecurity (Offensive Security and Applied AI) to begin Fall 2027. The successful candidate will teach four courses in each fall and spring semester and contribute to new Applied AI Engineering programs.

Responsibilities include teaching, developing courses, building labs, mentoring capstone projects with industry partners, and contributing to NSA CAE‑CD accreditation efforts, while maintaining ethical scholarship

Qualifications

• PhD in a relevant field with at least 18 graduate hours in Computer Information Systems or Cybersecurity
• At least 1 year of teaching experience at college/university level in cybersecurity, computing, or AI
• Demonstrated record of scholarship or potential to develop a sustainable scholarly program, suitable for a teaching‑focused university

Responsibilities

• Teach undergraduate courses in Cyber Security Systems and CIS with emphasis on offensive security and applied AI
• Develop and teach new undergraduate and future graduate courses for planned Applied AI Engineering programs
• Build and maintain hands‑on red‑team and applied AI laboratory exercises and coach student cyber competition teams
• Mentor project‑based and capstone courses with industry partners
• Prepare course outlines based on approved departmental syllabi
• Collaborate with faculty to ensure curriculum outcomes and NSA CAE‑CD accreditation
• Prepare and administer meaningful exams, projects, and assessments
• Advise and mentor students with weekly office hours

Skills

Offensive security

Applied AI engineering

Teaching

Curriculum development

Lab supervision

Industry partnerships

Advising

Assessment design

Project mentoring

Education

Doctorate in CS/CE/IS/Cybersecurity/AI

18 grad hours in CIS or Cybersecurity

Job description

Assistant Professor in Cybersecurity

Position Summary

The Department of Engineering, Computing and Cybersecurity invites full-time candidates for a tenure-track Assistant Professor in Cybersecurity (Offensive Security and Applied AI) position within the School of Mathematics, Science, and Engineering beginning Fall 2027. Full-time faculty at UIW are expected to teach four courses in the fall semester and four courses in the spring semester.

The Department of Engineering, Computing, and Cybersecurity at UIW offers the degrees of Bachelor of Science in Mechanical Engineering, Bachelor of Science in Mechatronics, and the Bachelor of Science in Engineering with tracks including Electrical and Management, as well as a Bachelor of Science in Computer Information Systems (CIS) and a Bachelor of Science in Cyber Security Systems (CSEC). The Department is planning Bachelor's and Master's programs in Applied AI Engineering. The successful candidate will bring expertise in offensive security (red teaming and penetration testing) and applied artificial intelligence, and will help build these new programs.

In all matters, faculty are expected to maintain the highest standard of professional ethics consistent with the UIW Mission. The duties and responsibilities of faculty members at the University include teaching, scholarship, service, and professional activities.

Essential Functions

1. Teach undergraduate courses in person in Cyber Security Systems and Computer Information Systems, with emphasis on offensive security (e.g., penetration testing, malware analysis, and digital forensics) and applied artificial intelligence.
2. Develop and teach new undergraduate and, in the future, graduate courses for the planned Applied AI Engineering programs (e.g., AI red teaming, AI security, large language model and agentic systems engineering, and MLOps).
3. Build and maintain hands‑on red‑team and applied AI laboratory exercises, and coach student cyber competition teams (e.g., NCL, CCDC, and capture-the-flag events).
4. Mentor project-based and capstone courses with industry partners that prepare students for AI solutions, integration, and security engineering roles.
5. Prepare course outlines based on approved departmental syllabi.
6. Work collaboratively with departmental faculty to ensure curriculum outcomes and accreditations (including NSA CAE-CD) are met.
7. Prepare and administer timely and meaningful exams, projects, and assessments for assigned courses.
8. Advise and mentor students; provide individual assistance to students during weekly office hours.
9. Adhere to UIW Faculty Handbook policies and processes including timely record keeping of student activities, fair, and equitable evaluation of student performance, and timely feedback to students regarding their performance in the course.
10. Conduct respectful relationships with faculty, staff, and students both in and outside the classroom.
11. Perform regular scholarly research and publication.
12. Provide service to the respective department, college, university, community, and profession.
13. Perform other duties as assigned.

Knowledge Skills and Abilities

• Demonstrated expertise in offensive security or applied artificial intelligence engineering, with working knowledge of the other area, as shown by research, industry work, open-source contributions, competitions, or certifications.
• Expertise in offensive security, such as penetration testing, red-team operations, adversary emulation (e.g., MITRE ATT&CK), exploit development, and web application and Active Directory attacks.
• Expertise in applied artificial intelligence engineering, such as large language model (LLM) applications, retrieval-augmented generation (RAG), agentic systems and tool use, model evaluation, and deployment and MLOps.
• Knowledge of AI security and AI red teaming, such as prompt injection, data poisoning, model extraction, the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI Risk Management Framework.
• Strong knowledge of cybersecurity (cybersecurity data science, network security, secure software development, and associated skills.)
• Strong skills in managing and optimizing advanced computing systems and servers are highly valued, reflecting an ability to integrate this knowledge into teaching and practical applications in Computer Information Systems.
• Demonstrated teaching and administrative ability.
• Strong interpersonal skills.
• Ability to take initiative and thrive in a demanding and diverse environment inside and outside the university.
• Ability to make industry contacts in the area, including AI and cybersecurity employers, to promote internships and capstone programs.
• Collegial and open to new ideas for improving processes.
• Willingness to learn and adapt to change.
• Ability to contribute to the NSA CAE-CD designation, including curriculum Knowledge Unit mapping, annual reporting, and student cyber competitions.
• Ability to work effectively with individuals from diverse communities and cultures.
• Employee shall adhere to all applicable rules and regulations of the University, the Conference, and the NCAA

Required Education

Doctorate in Computer Science, Computer Engineering, Electrical Engineering, Computer Information Systems, Cybersecurity, Data Science, Artificial Intelligence, or closely related discipline with at least 18 graduate hours in Computer Information Systems or Cybersecurity. Note that ABD candidates in said relevant fields with expected completion by assignment start date will be considered.

Required Work Experience

• At least one (1) year of teaching experience at the college or university level (as instructor of record, laboratory instructor, or teaching assistant) in cybersecurity, computing, or artificial intelligence.
• A record of scholarship or demonstrated potential to develop a sustainable scholarly program, such as peer-reviewed publications or research activity in cybersecurity, AI security, or applied AI, appropriate to a teaching-focused university and offering opportunities for undergraduate involvement.

Preferred Qualifications

• Combined expertise in offensive security and applied AI, especially AI red teaming and the security of LLM and agentic systems;
• Experience in teaching laboratories and senior design;
• Demonstrated teaching effectiveness, university leadership, a record of scholarship, and mainstream publications;
• Two (2) years of recent industry experience and strong programming skills in Python and C/C++;
• Industry experience building or deploying production AI systems (e.g., RAG pipelines, AI agents, or MLOps), including client-facing or consulting roles;
• Certifications in offensive security (e.g., OSCP, OSEP, OSWE, GPEN, GXPN, or CRTO), cloud computing (e.g., AWS, Google Cloud, or Azure), computer systems, cybersecurity, forensics, and/or networking;
• Experience with open-source computer security, open-source software/code security, penetration testing, forensics tools, and Linux.
• Experience teaching or developing courses in data science, machine learning, or AI engineering.

Required Certifications, Licenses or Registrations

None specified.

Work Hours

Typical for full-time faculty.

Physical Demands

Typical for faculty in this discipline.

Posting Number: UN1077PO

Job Type: Full Time

Job Category: Faculty

Desired Start Date: 08/16/2027

Position End Date (if temporary):

Reports To: Dean, School of Mathematics, Science, and Engineering

Salary: $73,000 Annualized

Open Date: 10/27/2026

Close Date:

Open Until Filled: Yes

UIW is committed to a policy of equal opportunity in employment, without regard to race, color, sex, sexual orientation, citizenship status, national origin, age, marital status, disability, genetic information, gender identity or expression, veteran status, pregnancy, and religion (except in limited circumstances when religious preference is both permitted by law and deemed appropriate as a matter of University policy).