Assistant Professor of Practice in Artificial Intelligence

Role Overview

The Department of Information Technology in the College of Engineering and Information Technology (CEIT) at Ajman University invites applications for a full-time Assistant Professor of Practice in Artificial Intelligence, beginning in the Spring 2026–2027 academic year.

Role Purpose

This position is intended for a qualified academic and industry-oriented professional who can bring current, practice-based expertise in Artificial Intelligence to the classroom. The successful candidate will contribute to an applied learning environment by delivering innovative, engaging instruction, integrating real-world AI tools and workflows into instruction, and helping students develop the practical, professional, and entrepreneurial skills needed for careers in AI and related digital technologies. The role places particular emphasis on industry engagement, applied learning, partnership development, and workforce readiness, in addition to teaching, academic service, and scholarly or professional contributions.

Key Responsibilities

Teaching & Learning

• Teach undergraduate courses in Artificial Intelligence, Information Technology, and related areas using effective, student-centered, and technology-enhanced teaching approaches.
• Design and deliver practice-oriented learning experiences that incorporate real-world case studies, datasets, tools, platforms, and industry scenarios.
• Assess student learning, monitor academic progress, and provide timely and constructive feedback.
• Foster an inclusive, respectful, and culturally responsive learning environment.

Student Development & Mentoring

• Supervise student capstone projects, internships, applied research, innovation projects, and career-oriented activities.
• Mentor students in professional readiness, including portfolio development, competitions, certifications, entrepreneurship, and career pathways in AI and digital technologies.
• Provide academic and professional mentoring to student project teams.

Curriculum & Program Development

• Contribute to curriculum development and continuous improvement to ensure alignment with advances in AI, industry trends, employer expectations, and accreditation requirements.
• Support the development of innovation spaces, AI practice environments, and experiential learning opportunities for students.

Industry & External Partnerships

• Build and sustain partnerships with industry, government, and community stakeholders to support internships, guest lectures, mentoring, live projects, consulting, and collaborative initiatives.
• Establish and maintain effective professional relationships within the University and with external stakeholders.
• Participate in professional organizations, conferences, and industry networks to maintain currency in the field.

Professional Engagement & Scholarship

• Engage in professional practice, applied research, scholarly activity, or pedagogical innovation relevant to the field.
• Contribute to the growth and visibility of Ajman University through teaching excellence, service, outreach, and external engagement.

Institutional Service

• Participate actively in departmental, college, and university committees and other institutional service activities.
• Perform other job-related duties as assigned.

Qualifications & Experience

• Ph.D. in Artificial Intelligence, Computer Science, Information Technology, Data Science, or a closely related field from a reputable university.
• Demonstrated teaching experience in AI, computing, or IT-related courses at the undergraduate level.
• Strong professional or leadership experience in industry, data-driven organizations, digital transformation, software development, intelligent systems, or related technology sectors.
• Ability to connect theory with professional practice and translate industry needs into relevant learning experiences.
• Experience in supervising student capstone projects, internships, applied projects, or practice-based learning activities.
• Experience with contemporary AI tools, frameworks, and platforms, such as machine learning libraries, generative AI tools, cloud AI services, data analytics platforms, MLOps environments, or intelligent application development ecosystems.
• Evidence of professional engagement, applied scholarship, consultancy, innovation, or collaborative projects with external partners.
• Record of community engagement, academic service, or professional activities.
• Interdisciplinary collaboration experience is desirable.
• Experience, or strong potential, in securing external support through grants, consultancy, sponsored projects, or industry collaboration is an advantage.

Skills & Competencies

• Strong oral and written communication skills.
• Ability to teach effectively in a diverse and multicultural environment.
• Ability to connect academic content with current industry practice and emerging technological developments.
• Ability to supervise student projects and provide academic and professional mentoring.
• Familiarity with the credit-hour academic system.
• Familiarity with Learning Management Systems and digital teaching tools.
• Knowledge of curriculum planning, assessment, and program development.
• Ability to work collaboratively with faculty, students, industry representatives, and other stakeholders.
• Awareness of responsible AI practices, including ethics, governance, privacy, security, and societal impact.
• Ability to contribute to applied scholarship, innovation, or professional engagement relevant to the discipline.

Additional Information

Application Requirements

A completed application will include

• A letter of interest addressing qualifications for the position.
• A current curriculum vitae.
• A statement of teaching philosophy and research.
• A list of three professional references with names, titles, phone numbers, and email addresses, including a current or previous supervisor.