Assistant / Associate Professor of Computer Science

The School of Arts and Sciences invites applications for a full-time faculty position in Computer Science at the rank of Assistant or Associate Professor to begin teaching in Spring-Fall 2027.

The successful candidate will contribute to undergraduate teaching in Computer Science and support the continued development of the program through teaching, scholarly engagement, curriculum innovation, and service. We seek a candidate with a strong record of research and scholarly activity, or clear potential to establish a productive research agenda. The position offers opportunities to contribute to emerging areas such as artificial intelligence, machine learning, data science, software development, cybersecurity, and related fields.

The successful candidate will:

  • Teach undergraduate courses in Computer Science, including introductory programming and foundational computing courses.
  • Contribute to curriculum development, assessment, and continuous improvement of the Computer Science program.
  • Support the growth of academic offerings in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Software Development, Cloud Computing, and related fields.
  • Maintain an active program of research and scholarly activity consistent with the University's mission.
  • Engage in educational scholarship, applied research, and/or industry collaboration.
  • Advise and mentor students in academic, professional, and research activities.
  • Supervise student projects, capstones, internships, and portfolios, as appropriate.
  • Participate in departmental, school, and university service activities.

The successful candidate should have:

  • A Ph.D. or equivalent terminal degree from an accredited institution in Computer Science, Computer Engineering, or a closely related discipline.
  • Demonstrated excellence in teaching undergraduate Computer Science courses.
  • Expertise in one or more of the following areas: Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Databases, Cybersecurity, Cloud Computing, or other emerging computing fields.
  • Evidence of a strong research record or the potential to establish a productive research agenda.
  • Strong communication and interpersonal skills, and the ability to work effectively in a diverse academic environment.

Preferred Qualifications:

  • Relevant professional or industry experience.
  • Experience supervising student projects, capstones, internships, or portfolios.
  • Experience in curriculum design, program development, or academic assessment.
  • Evidence of successful interdisciplinary collaborations, grants, or industry partnerships.

The appointment will be at the rank of Assistant or Associate Professor, commensurate with qualifications and experience.

The compensation package for this position is competitive and is based on the expatriate model. Besides tax-exempt basic salary, it includes housing allowance, annual two-way airfare, health / life insurance, professional memberships, conference attendance expenses, assistance with children's tuition, and other components.

The American University in Dubai is a private, non-sectarian institution of higher learning founded in 1995. It serves UAE nationals and international students who seek world-class career-oriented education. AUD, as an international institution of higher education, encourages global understanding by providing an atmosphere of cultural diversity and opportunities for international education.

 

Applications will be accepted and evaluated until this position is filled.

 

Interested candidates are invited to submit their applications through AUD's Recruitment Portal, where they can create their profiles and provide the necessary documents.

  • Cover letter
  • Updated CV
  • Statement of teaching philosophy
  • Contact information of three (3) academic/professional references. 
 

No telephone calls please.

While we thank all applicants for their interest, only those under consideration will be contacted for a follow-up interview.