Computer Science Associate /Assistant Professor
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Key skills for this role
About the Role
Candidates will teach Computer Science and Artificial Intelligence, conduct impactful research, and engage in curriculum development and industry collaboration.
Key Skills for This Role
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Overview
- 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
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.
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