Cybersecurity Associate/Assistant Professor
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About the Role
About CUD JOB DESCRIPTION Established in 2006, CUD is one of the most promising universities in the Middle East, Africa, and South Asia region, QS ranked in the top 2% of universities worldwide, #1 in Dubai, and 21st in the Arab Region according to the QS Arab Region Rankings 2025.
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Job Description
Established in 2006, CUD is one of the most promising universities in the Middle East, Africa, and South Asia region, QS ranked in the top 2% of universities worldwide, #1 in Dubai, and 21st in the Arab Region according to the QS Arab Region Rankings 2025.
Our expanded City Walk campus hosts state-of-the-art amenities with a focus on entrepreneurship, innovation, and creativity.
Combining all the essential elements of technology, the avant-garde campus brings a new experience to students, featuring: laboratories, research facilities, media studios, high-tech classrooms, a multipurpose theatre, gymnasium, student centre, dining and entertainment options, and more.
With one of the world’s fastest growing populations, Dubai offers a diverse, multicultural environment with outstanding lifestyle and employment opportunities.
Cud Faculty Positions In Cybersecurity
School of Engineering, Applied Science, and Technology (SEAST)
Canadian University Dubai (CUD) is seeking exceptional faculty at the ranks of Assistant Professor and Associate Professor, in Cybersecurity and related disciplines to join School of Engineering, Applied Science, and Technology (SEAST).
Qualifications
- Applicants must hold a PhD in Cybersecurity.
- Candidates should have a strong record of teaching, research, and industry engagement in Cybersecurity or AI applications in cybersecurity.
- Proficiency In With Open Cybersecurity Tools.
- Candidates Should Demonstrate Practical Experience With Widely Used Open-source Cybersecurity Tools And Frameworks, Such As
- Experience using and teaching open-source penetration testing and security assessment tools from the OWASP ecosystem (e.g., OWASP ZAP, OWASP Dependency-Check, OWASP Juice Shop).
- Hands-on experience with vulnerability scanning, web application security testing, and secure coding practices using OWASP tools and methodologies.
- Relevant professional certifications (e.g. Certified Information Systems Security Professional (CISSP) – by ISC2, Certified Information Security Manager (CISM) – by ISACA, Certified Information Systems Auditor (CISA) – by ISACA, Offensive Security Certified Professional (OSCP) – by Offensive Security, GIAC Security Essentials (GSEC) – by Global Information Assurance Certification, GIAC Certified Incident Handler (GCIH) – by Global Information Assurance Certification or Certified Ethical Hacker (CEH) – by EC-Council) 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 the key areas in Cybersecurity and general computing courses:
- 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;
- Network Security, Cryptographic Algorithms, Software Vulnerability, Security Threats and Risk Analysis, Mobile and Wireless Security, and Penetration Testing and Ethical hacking; 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 Cybersecurity While Addressing Global Challenges Through The Following Thematic Areas
- AI-based intrusion detection systems
- Malware detection and classification using machine learning
- Adversarial machine learning and AI security
- Automated threat intelligence and security analytics
- Behavioral anomaly detection in networks and systems
- AI Cybersecurity 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
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