Assistant Professor of Artificial Intelligence

Angelo State University; San Angelo (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

Angelo State University invites applications for two full-time, nine-month, tenure-track Assistant Professor positions in Artificial Intelligence with a start in August 2027. The Department of Computer Science seeks candidates to support undergrad and grad programs through teaching, research, mentoring, curriculum development, and service.

Applicants may specialize in machine learning, generative AI, NLP, computer vision, robotics, edge AI, AI accelerators, neuromorphic computing, or

Qualifications

• Earned doctorate in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, Data Science, or closely related field. ABD candidates considered if completed by Sept 1, 2027.

Responsibilities

• Teach three courses per semester in AI/CS/related areas.
• Develop and improve courses, labs, and instructional materials.
• Maintain an active research agenda and pursue external funding.
• Mentor undergraduate and graduate students in research and projects.
• Collaborate across CS, Engineering, and other disciplines on AI initiatives.
• Participate in departmental, college, and university service and outreach.

Skills

Teaching

Student mentoring

Curriculum development

Research planning

Collaboration

Communication

Education

Doctorate in CS/AI/CE/EE/Data Science

Job description

Assistant Professor of Artificial Intelligence

Job Title Assistant Professor of Artificial Intelligence

Position Number

Position Number 977278, 977301

Department

Department Computer Science

Salary Commensurate with qualifications and experience

Remote

Remote No

Job Summary

The Department of Computer Science at Angelo State University invites applications for two full-time, nine-month, tenure-track Assistant Professor positions in Artificial Intelligence, beginning in August 2027. The successful candidates will support undergraduate and graduate programs in Artificial Intelligence and Computer Science through teaching, research, student mentoring, curriculum development, and service.

Applications are encouraged from candidates across the full breadth of artificial intelligence, including both software- and hardware-oriented areas. Relevant fields may include machine learning, generative AI, natural language processing, computer vision, robotics, autonomous systems, edge and embedded AI, computer architecture, AI accelerators, neuromorphic computing, and hardware-software co-design.

Each faculty member will normally teach three courses per semester, maintain an active research agenda, pursue external funding, mentor students, and contribute to interdisciplinary AI initiatives across the university. The academic appointment, tenure home, and formal evaluation pathway are within the Department of Computer Science.

• Teach three undergraduate and/or graduate courses per semester in artificial intelligence, computer science, data science, computer engineering, or related areas, as assigned by the Department Chair.
• Develop and continuously improve courses, laboratories, assignments, and other instructional materials that support Artificial Intelligence and Computer Science programs.
• Maintain an active research and scholarly agenda in artificial intelligence or a related field, including software-, systems-, or hardware-oriented research.
• Develop and submit proposals for external funding and participate in externally funded research, educational, or workforce-development initiatives.
• Mentor undergraduate and graduate students in research, capstone projects, applied AI projects, professional development, and career preparation.
• Collaborate with faculty across Computer Science, Engineering, and other disciplines on AI-related research, curriculum, student projects, and institutional initiatives.
• Participate in departmental, college, and university service, including assessment, advising, recruitment, student success, committee work, outreach, and program development.
• Develop appropriate partnerships with industry, government, educational institutions, and community organizations to advance AI education, research, and workforce development.

Knowledge, Skills and Abilities

Knowledge

• Knowledge of artificial intelligence concepts, methods, systems, and applications, with depth in one or more software-, systems-, or hardware-oriented areas.
• Knowledge of current and emerging developments in artificial intelligence, computer science, computer engineering, or related disciplines.
• Knowledge of effective teaching practices, student-learning assessment, curriculum development, and instructional technology.
• Knowledge of research methods, scholarly publication, grant development, and externally funded projects.
• Knowledge of ethical, secure, responsible, and transparent uses of artificial intelligence, including privacy, bias, reliability, and societal impact.

Skills

• Effective teaching and student-engagement skills at the undergraduate and graduate levels.
• Research, scholarly writing, technical presentation, and grant-development skills.
• Skills in developing and improving curricula, courses, laboratories, assignments, and applied projects.
• Effective written, oral, interpersonal, and technical communication skills.
• Student mentoring, academic advising, and career-development skills.
• Collaboration and partnership-development skills across academic disciplines, industry, government, and community organizations.

Abilities

• Ability to teach courses in artificial intelligence, computer science, computer engineering, data science, or related areas.
• Ability to maintain an active research agenda and produce appropriate scholarly products.
• Ability to mentor students in research, capstone experiences, applied projects, and professional development.
• Ability to teach effectively in face-to-face, online, or hybrid formats as assigned.
• Ability to collaborate across Computer Science, Engineering, and other disciplines.
• Ability to adapt teaching and research activities in response to rapidly evolving technologies and workforce needs.
• Ability to contribute effectively to departmental, college, university, professional, and community service.

Minimum Qualifications

• An earned doctorate in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, Data Science, or a closely related field from an accredited institution or international equivalent. ABD candidates will be considered, provided the doctorate is completed no later than September 1, 2027.
• Academic preparation and expertise appropriate for teaching undergraduate and graduate courses in Artificial Intelligence, Computer Science, Computer Engineering, or related areas.
• Evidence of, or demonstrated potential for, effective university-level teaching and student mentoring.
• Evidence of, or demonstrated potential for, an active research and scholarly agenda in artificial intelligence or a related software-, systems-, or hardware-oriented field.
• Ability to contribute effectively to the instructional, research, and service missions of the Department of Computer Science and the university.

Physical Requirements

No physical requirements.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran.

In compliance with the Americans with Disabilities Act ( ADA ), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees. If an accommodation is requested for the job application process, please contact our office at [phone] or email us at [e-mail].

Posting Number

Posting Number F385P

Open Date

Open Date 09/09/2026

Desired Start Date

Desired Start Date 08/02/2027

Review Start Date

Review Start Date 11/06/2026

Open Until Filled Yes

Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed To Apply

Required Documents

• Cover Letter
• Curriculum Vitae
• Teaching Philosophy
• Transcripts (Unofficial)
• List of References

Optional Documents

• Other