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naukri

Cybersecurity Associate/Assistant Professor

Canadian University Dubai
Dubai, UAE
parttime
Senior
3 months ago
cybersecurityinformation securitynetwork securitySOCSIEMpenetration testing
Free

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Overview

  • 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.
  • 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.

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