Computer Science Associate /Assistant Professor

Job Description

Cud Faculty Positions In Computer Science

Qualifications

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

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