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Texas A&M University System

Texas public university system

Assistant/Associate Professor of Computer Science

Higher Education FacultyPosted on Nov 10
Full-timeTexarkana, TX, USANo salary listed

About the Job

Requirements

  • An earned Ph.D. in computer science, artificial intelligence, machine learning, cybersecurity, data science, or a closely related field from an accredited institution.
  • A record of, or demonstrated potential for, effective teaching in computer science courses and laboratories.
  • A record of, or demonstrated potential for, scholarly publication and external funding appropriate to the rank sought.
  • For appointment at the Associate Professor rank, a record of teaching, scholarship, and service that meets Texas A&M University Texarkana standards for appointment at that rank; normally, this includes at least five years of successful service at the rank of Assistant Professor or equivalent experience.
  • Eligibility to work in the United States at the time of hire.
  • Ability to travel and work beyond normal office hours.
  • Ability to maintain confidentiality.

Responsibilities

  • Establish an active scholarly program in computer science, preferably at the intersection of artificial intelligence, machine learning, and cybersecurity, involving peer-reviewed publications, external funding, and meaningful research appropriate to the rank.
  • Teach undergraduate and graduate computer science courses, including cybersecurity and artificial intelligence/machine learning courses, in in-person, online, and hybrid formats.
  • Develop courses, laboratory experiences, and instructional materials supporting the computer science and artificial intelligence curricula.
  • Assess student learning and use results to improve courses and program effectiveness.
  • Advise and mentor students on academic, research, professional, and career matters, and keep regular office hours.
  • Contribute to curriculum development, ABET preparation, continuous improvement, and accreditation.
  • Lead or support the development, safe operation, and improvement of computing teaching and research laboratories, such as artificial intelligence/machine learning computing and cybersecurity laboratories.
  • Serve on division, college, and university committees.
  • Collaborate with colleagues across the college and contribute to teaching, scholarship, service, and departmental and college strategic goals.
  • Pursue external funding, disseminate scholarly work, and engage students in research.
  • Help implement and continuously improve the computer science and artificial intelligence curricula, develop teaching and research laboratories, participate in ABET assessment and accreditation activities, and build partnerships with industry and research organizations.
  • Support hands-on student experiences through programming and computing laboratories, undergraduate research, capstone projects, industry-sponsored projects, internships, and other experiential learning opportunities.

Desired Qualifications

  • A strong publication record in artificial intelligence, machine learning, cybersecurity, or related areas in top-tier journals or A/A* conferences (CORE ranking), with expertise at the intersection of artificial intelligence/machine learning and cybersecurity.
  • Experience teaching computer science courses, with the ability to teach cybersecurity and artificial intelligence/machine learning.
  • Familiarity with program accreditation and assessment, such as ABET.
  • Experience in grant writing.

About the Company

Texas A&M University System

Texas public university system

Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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