Computer Science Associate /Assistant Professor Canadian University Dubai

Teaching will span five key thematic areas in Computer Science and Artificial Intelligence:

• Foundations of Computer Science, AI and Machine Learning, providing core principles and algorithms;
• Operating systems, data structure, data mining, algorithms and software paradigms, focusing on cutting-edge techniques, large language models and emerging models;
• Computer Vision and Visual Computing, addressing image, video, and visual data processing;
• Applied AI and Emerging Technologies, integrating AI with domains such as cloud, cybersecurity, and IoT; and
• Professional Practice and Research, fostering project management, industry engagement, and scholarly inquiry.

Successful candidates will drive high-impact research, producing 2 10 publications in reputable, peer-reviewed journals (preferably Q1/Q2 Scopus-indexed, commensurate with academic rank). Research should advance innovation in Computer Science, Applied Science and Artificial Intelligence while addressing global challenges through the following thematic areas:

• Scalable and real-time AI applications enabling responsive, high-performance solutions for industry and society.
• AI for social good and interpretable, human-centered AI creating ethical, transparent systems that improve lives and foster trust.
• Integration with blockchain, edge, and cloud technologies building secure, distributed, and sustainable digital infrastructures.
• AI policy and ethics shaping responsible innovation and governance frameworks.

All research is expected to align with the United Nations Sustainable Development Goals (SDGs), particularly:

• SDG 3: Good Health and Well-Being
• SDG 4: Quality Education
• SDG 9: Industry, Innovation, and Infrastructure
• SDG 11: Sustainable Cities and Communities
• SDG 13: Climate Action

Key Responsibilities

• Serve as the program s subject matter expert, supporting the Program Chair/Coordinator in operations and ensuring curriculum alignment with CUD, industry needs, and the latest developments in the field.
• Teach undergraduate and graduate courses in AI and related fields, ensuring engaging delivery, updated syllabi, and timely grading.
• Supervise student projects, internships, and theses, while advising students especially those at academic risk.
• Contribute to curriculum design, course development, and continuous program improvement.
• Conduct research, publish in reputable journals, and engage with industry to advance applied AI practice.
• Participate in academic governance, accreditation processes, faculty meetings, and professional development.
• Engage in community outreach, industry collaborations, and represent CUD at professional events.