Associate Professor in Artificial Intelligence

Tanqeeb; Ras Al Khaimah; On-site; AED 300,000 - 460,000; Full time

Job summary

American University of Ras Al Khaimah (AURAK) invites applications for an outstanding Associate Professor in Artificial Intelligence to lead the Advanced Technology and AI Center, combining leadership, research and teaching with industry collaboration.

The role emphasizes building partnerships with tech companies and research institutions while driving scholarly impact in AI, ML, and data science, and mentoring students and researchers.

Qualifications

• Earned Ph.D. in Artificial Intelligence or a related computing discipline from an accredited institution.
• Demonstrated academic leadership experience, such as department chair or program coordinator.
• Proven ABET accreditation experience and knowledge of CAA standards and reporting.

Responsibilities

• Provide academic and administrative leadership for the Department of Computer Science and Engineering.
• Lead ABET accreditation processes and ensure compliance with CAA standards.
• Oversee assessment, learning outcomes evaluation, and data-driven improvement.
• Teach undergraduate courses and mentor faculty, students, and researchers.
• Establish and sustain a nationally or internationally recognized AI research agenda.
• Foster external research funding and industry collaboration.

Skills

Academic leadership

Communication skills

Education

Ph.D. in Artificial Intelligence or related computing discipline

University-level teaching experience

Job description

Associate Professor in Artificial Intelligence

American University of Ras Al Khaimah (AURAK)

The American University of Ras Al Khaimah (AURAK) invites applications for an outstanding Associate Professor in Artificial Intelligence to play a leading role in the University's Advanced Technology and AI Center. This position offers a unique opportunity to combine leadership, research, and teaching in a dynamic and rapidly growing environment, with a strong emphasis on industry engagement, applied research, innovation, and strategic collaboration. The successful candidate will contribute to building partnerships with leading technology companies, research organizations, and international academic institutions while advancing AURAK's vision in artificial intelligence and emerging technologies. Applicants should demonstrate a strong academic and research profile in Artificial Intelligence, Machine Learning, Generative AI, Data Science, or related fields, with evidence of scholarly achievements, externally funded research, and industry collaboration. The successful candidate will be expected to contribute to teaching, mentor students and researchers, lead innovative projects, and support the growth and impact of the Advanced Technology and AI Center.

Primary Responsibilities Include

• Providing academic and administrative leadership for the Department of Computer Science and Engineering
• Leading and overseeing ABET accreditation processes and ensuring compliance with CAA standards and requirements
• Supporting continuous improvement through assessment, learning outcomes evaluation, and data-driven decision-making
• Teaching undergraduate courses aligned with departmental needs
• Leading faculty development, mentoring, and performance evaluation
• Establishing and/or sustaining a nationally or internationally recognized research agenda
• Encouraging and supporting the acquisition of external research funding
• Representing the department at the school and university levels, and serving on key committees
• Advising and mentoring students
• Promoting outreach activities, industry collaboration, and community engagement

Required Qualifications

• Earned Ph.D. in Artificial Intelligence or a related computing discipline from an accredited institution
• Demonstrated academic leadership experience, such as serving as department chair, program coordinator, or in a comparable role
• Proven experience with ABET accreditation, including assessment, documentation, and continuous improvement processes
• Knowledge of and experience with CAA accreditation standards and reporting requirements
• University-level teaching experience
• Strong record of scholarship and research productivity
• Excellent oral and written communication skills in English
• Commitment to excellence in teaching and student success
• Ability to work effectively with a diverse faculty and student population
• Demonstrated ability to collaborate across disciplines