Associate Professor in Artificial Intelligence | AURAK

Job Description

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.

The position combines academic leadership, research, teaching, industry engagement, applied research, innovation, and strategic collaboration. The successful candidate will contribute to partnerships with technology companies, research organisations, and international academic institutions while helping advance AURAK’s work 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, together with evidence of scholarly achievement, externally funded research, and industry collaboration.

Employer: American University of Ras Al Khaimah (AURAK)
Centre: Advanced Technology and AI Center
Location: Ras Al Khaimah, United Arab Emirates
Academic Rank: Associate Professor
Field: Artificial Intelligence / Computing
Core Areas: AI, Machine Learning, Generative AI, Data Science, Research Leadership, Accreditation

Associate Professor Artificial Intelligence – Position Overview

The successful candidate will contribute to the growth and impact of AURAK’s Advanced Technology and AI Center through:

• Academic leadership.
• Research leadership.
• Undergraduate teaching.
• Student and researcher mentoring.
• Applied AI projects.
• Industry collaboration.
• External research funding.
• Strategic partnerships.
• Accreditation leadership.
• Faculty development.
• Community and professional engagement.

The role has a strong emphasis on both academic excellence and applied impact.

Academic and Administrative Leadership

The successful candidate will provide academic and administrative leadership for the Department of Computer Science and Engineering.

Responsibilities include:

• Supporting departmental leadership.
• Contributing to academic planning.
• Representing the department at School and University levels.
• Serving on key committees.
• Supporting faculty performance and development.
• Helping shape strategic priorities.

Applicants should therefore have prior academic leadership experience.

Artificial Intelligence Research

The position requires a strong research profile in areas such as:

• Artificial Intelligence.
• Machine Learning.
• Generative AI.
• Data Science.
• Related computing disciplines.

The successful candidate is expected to establish or sustain a nationally or internationally recognised research agenda.

Research Productivity

Applicants should demonstrate a strong record of:

• Scholarly publication.
• Research productivity.
• Research leadership.
• Academic impact.
• Innovative research activity.

The University is seeking a candidate capable of maintaining and expanding a significant research programme.

External Research Funding

AURAK expects the successful candidate to encourage and support the acquisition of external research funding.

Relevant experience may include:

• Competitive research grants.
• Industry-funded projects.
• Collaborative research funding.
• International research partnerships.
• Sponsored innovation projects.

The source vacancy specifically highlights externally funded research as an important part of the candidate profile.

Industry Collaboration

The position places strong emphasis on building partnerships with:

• Technology companies.
• Research organisations.
• Industry partners.
• International universities.
• Other strategic collaborators.

The successful candidate will support applied research and innovation initiatives that connect academic expertise with external organisations.

Applied Research and Innovation

The role is designed to strengthen AURAK’s activity in applied and emerging technologies.

The successful candidate will be expected to:

• Lead innovative projects.
• Support applied research.
• Develop external collaborations.
• Advance AI-related initiatives.
• Contribute to the growth of the Advanced Technology and AI Center.

Teaching Responsibilities

The successful candidate will teach undergraduate courses aligned with departmental needs.

Teaching responsibilities will form part of the wider leadership and research role.

Applicants must demonstrate:

• University-level teaching experience.
• Commitment to teaching excellence.
• Commitment to student success.

Student and Researcher Mentoring

The Associate Professor will advise and mentor:

• Undergraduate students.
• Researchers.
• Other learners involved in relevant academic and research activities.

The role also involves supporting students’ academic and professional development.

Faculty Development and Mentoring

The position includes leadership responsibilities related to faculty development.

The successful candidate will contribute to:

• Faculty mentoring.
• Professional development.
• Performance evaluation.
• Academic-quality enhancement.

ABET Accreditation

A major requirement of the role is leadership in ABET accreditation processes.

The successful candidate will be expected to:

• Lead or oversee ABET accreditation activities.
• Support programme assessment.
• Maintain required accreditation documentation.
• Contribute to continuous improvement.
• Evaluate learning outcomes.
• Use evidence and data to support accreditation requirements.

Applicants must demonstrate proven experience with ABET accreditation.

CAA Accreditation

The position also requires knowledge and experience with the UAE’s Commission for Academic Accreditation (CAA) standards and reporting requirements.

Candidates should demonstrate experience with:

• CAA standards.
• Accreditation reporting.
• Academic-quality documentation.
• Compliance requirements.

Continuous Improvement

The successful candidate will support continuous academic improvement through:

• Assessment.
• Learning-outcomes evaluation.
• Data-driven decision-making.
• Accreditation evidence.
• Academic-performance monitoring.

The vacancy specifically links continuous improvement with ABET and CAA expectations.

Outreach and Community Engagement

The Associate Professor will promote:

• Outreach activities.
• Industry collaboration.
• Community engagement.
• External partnerships.

These responsibilities support the wider impact of both the department and the Advanced Technology and AI Center.

Required Academic Qualification

Applicants must hold an:

• Earned PhD in Artificial Intelligence or a related computing discipline from an accredited institution.

Academic Leadership Requirement

Candidates must demonstrate academic leadership experience, such as:

• Department Chair.
• Programme Coordinator.
• Comparable academic leadership role.

Leadership experience is an explicit requirement for this position.

Accreditation Experience

Applicants must demonstrate:

• Proven ABET accreditation experience, including assessment, documentation, and continuous improvement.
• Knowledge and experience with CAA accreditation standards and reporting requirements.

Teaching Requirement

Applicants must have:

• University-level teaching experience.
• Commitment to excellence in teaching.
• Commitment to student success.

Research Requirement

Candidates must demonstrate:

• Strong research productivity.
• Scholarly achievement.
• Ability to sustain a recognised research agenda.

The broader vacancy description also seeks evidence of:

• Externally funded research.
• Industry collaboration.

Communication and Collaboration

Applicants should demonstrate:

• Excellent spoken English.
• Excellent written English.
• Ability to work effectively with a diverse faculty population.
• Ability to work effectively with a diverse student population.
• Ability to collaborate across disciplines.

Recommended Professional Development

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It may be particularly relevant to AI researchers, computing academics, doctoral candidates, and professionals seeking to strengthen or refresh their machine-learning foundations.

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Application Process

Applicants must submit a complete online application.

The vacancy states that applications with missing documents will be automatically rejected.

Applicants are also required to create an account before applying.

Required Application Documents

Applicants must submit:

1. Cover letter outlining leadership experience and vision for the department.
2. Detailed Curriculum Vitae (CV).
3. Statement of teaching philosophy and leadership approach.
4. Brief statement describing experience with ABET and CAA accreditation.
5. Unofficial copies of academic transcripts.

Applicants should ensure that every required document is included before submitting the application.

Important Source Note

The vacancy describes the position as an Associate Professor in Artificial Intelligence within the Advanced Technology and AI Center, while the listed primary responsibilities also include providing academic and administrative leadership for the Department of Computer Science and Engineering.

Both elements have been retained because they are explicitly stated in the source vacancy.

Job Summary

Employer	American University of Ras Al Khaimah (AURAK)
Centre	Advanced Technology and AI Center
Departmental Leadership	Department of Computer Science and Engineering
Location	Ras Al Khaimah, United Arab Emirates
Academic Rank	Associate Professor
Field	Artificial Intelligence / Computing
Specialisations Highlighted	Artificial Intelligence, Machine Learning, Generative AI, Data Science
Required Qualification	PhD in Artificial Intelligence or related computing discipline
Leadership Requirement	Academic leadership experience such as Department Chair, Programme Coordinator, or comparable role
ABET Requirement	Proven experience in accreditation, assessment, documentation and continuous improvement
CAA Requirement	Knowledge and experience with CAA standards and reporting
Teaching Requirement	University-level teaching experience
Research Requirement	Strong scholarship and research productivity; recognised research agenda
Additional Research Expectations	External research funding and industry collaboration
Core Responsibilities	Leadership, research, teaching, accreditation, faculty development, student mentoring and industry engagement
Language Requirement	Excellent oral and written English
Application Documents	Cover letter, CV, teaching/leadership statement, ABET/CAA statement and unofficial transcripts
Application Requirement	Complete online application; candidate account required
Application Deadline	Not stated