Offensive Cyber Security Instructor

Roles and responsibilities

The primary role of the faculty members at the College of Computing and IT is to promote high-quality innovative teaching, applied research, and service. Besides, he/she should collaborate with the Head of Department, Dean, and the colleagues to achieve the college's mission, mentor junior colleagues, and teaching assistants, and support the department and the college with several administrative and academic services.
Cybersecurity Expertise:

In-depth knowledge of cybersecurity principles, including threat analysis, risk management, network security, encryption, security protocols, and malware analysis.
Proficiency in the use of various cybersecurity tools and technologies, such as firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, SIEM (Security Information and Event Management) tools, and VPN technologies.
Knowledge of ethical hacking methodologies, penetration testing, vulnerability assessments, and exploit development.
Familiarity with cloud security, IoT security, and mobile security to address emerging cybersecurity concerns.
Experience in cyber threat intelligence and the ability to analyze and respond to current security incidents and attacks (e.g., ransomware, phishing).
Teaching & Instructional Design:

Strong ability to develop and deliver curricula for both beginner and advanced-level cybersecurity courses.
Familiarity with creating course materials, such as presentations, labs, reading assignments, and assessments.
Experience in delivering content across multiple platforms, such as in-person, virtual classrooms, and eLearning environments.
Ability to demonstrate real-world applications of cybersecurity concepts using hands-on labs, simulations, and case studies to enhance student learning.
Skilled in using Learning Management Systems (LMS) like Moodle, Blackboard, or Canvas to deliver content, track student progress, and grade assignments.

Desired candidate profile

• Master’s degree in Data Science, AI, Computer Science, or a related field from an accredited institution.
• Proven experience teaching Data Science or related computing courses at the post-secondary level.
• Experience with applied learning approaches and integrating technology into the classroom.
• Fluency in English, with strong written and oral communication skills.
  

Preferred Qualifications

• Ph.D. in Data Science, Computer Science, or a related field.
• Demonstrated experience in curriculum development, instructional design, and assessment.
• Industry experience or relevant certifications that align with Information Systems.
• A track record of scholarly research and publications in Information Systems or related disciplines.
  

Other Required Skills

• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a multicultural academic setting.
• Excellent organizational and time-management skills.
• Ability to adapt teaching methods to various learning styles and needs.