Canadian University Dubai (CUD) is seeking exceptional faculty at the ranks of Assistant Professor and Associate Professor, in Computer Science and related disciplines to join School of Engineering, Applied Science, and Technology (SEAST).
Qualifications
Applicants must hold a PhD in Computer Science, or Computer Science with applied Artificial Intelligence themes. Candidates should have a strong record of teaching, research, and industry engagement in Computer Science or AI applications across domains such as computer visioning, healthcare, digital twin, education or cybersecurity.
Proficiency in Software development process, software design, software architecture is required. Hands-on experience in one or more of web and mobile development frameworks and libraries such as React.js, View.js, Node.js, or Angular is strongly preferred.
Relevant professional certifications (e.g. IBM AI Engineering Professional Certificate, AWS Certified Solutions Architect, Microsoft Azure AI Fundamentals) are preferred.
Experience Requirements
Assistant Professor – Minimum 2 years of undergraduate teaching experience in a top 300 QS-ranked university, with curriculum development and graduation project supervision experience.
Associate Professor – Minimum 5 years of undergraduate/graduate teaching experience in a top 500 QS-ranked university, with MSc/PhD supervision experience. Familiarity with ABET accreditation is preferred.
Teaching Areas
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.
Research Focus
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.
Our eligible employees enjoy competitive compensation and benefits, including:
Generous academic annual leave
Tax-free salary
Housing allowance
Annual flights for self, spouse, and dependent children
Children’s education allowance
Relocation/shipping allowance
Professional development opportunities
International health insurance
In-house visa and relocation support services
Full access to campus facilities
Research and innovation funding support
DETAILS TO REGISTER FOR THIS JOB:
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