Adjunct Faculty Cybersecurity and Applied Computing

Curtin Dubai; Dubai; On-site; AED 180,000 - 300,000; Part time

Job summary

Curtin Dubai invites applications for an Adjunct Lecturer in Cybersecurity to deliver high-quality teaching across undergraduate and postgraduate programs, bridging into computing and artificial intelligence units. The role involves teaching assigned courses, facilitating student engagement, and assessing academic performance.

The successful candidate will hold a doctoral degree in cybersecurity or related field, with 3–5 years of industry or teaching experience in cybersecurity, and will

Qualifications

• Doctoral degree in Cybersecurity or related field from a recognised institution.
• Minimum 3–5 years of relevant industry and/or teaching experience in cybersecurity.
• Applied familiarity with AI/Data Science and practical knowledge in cybersecurity domains.

Responsibilities

• Deliver lectures, tutorials, labs, and workshops in cybersecurity and related units.
• Assess examinations, quizzes, assignments, and projects in line with academic requirements.
• Provide timely feedback and mentoring to support student learning and progression.
• Maintain consultation hours and contribute to improvements in teaching quality and student experience.
• Oversee unit-level administrative requirements and support faculty in teaching practices.

Skills

Communication skills

Presentation skills

Interpersonal skills

Mentoring

Education

Doctoral degree in Cybersecurity or related field

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

POSITION SUMMARY

The Adjunct Lecturer in Cybersecurity is responsible for delivering high-quality teaching and learning experiences primarily within undergraduate and or postgraduate cybersecurity programs with the ability to bridge into computing and artificial intelligence units The role involves teaching assigned courses facilitating student engagement and assessing academic performance The Adjunct Lecturer will leverage current cybersecurity industry knowledge and practical expertise to prepare students for careers in information security digital forensics network security ethical hacking cloud security security operations and risk management Additionally the candidate will bring foundational or applied expertise in artificial intelligence and machine learning to support interdisciplinary areas such as AI-driven threat detection security analytics and intelligent systems

RESPONSIBILITIES

Teaching and Learning

• Deliver lectures tutorials practical sessions workshops seminars demonstrations and laboratory classes in the relevant subject area
• Administer and assess examinations quizzes assignments projects laboratory work and other assessment tasks in line with approved academic requirements
• Provide constructive and timely feedback to support student learning and progression
• Maintain regular consultation hours and provide academic guidance mentoring and support to students
• Contribute to improvements in teaching quality the learning experience assessment practice and academic support within the School
• Oversee and support faculty in the implementation of high-quality teaching practices and the effective management of unit-level administrative requirements

Student Support Success and Employability

• Provide academic advising mentoring and guidance to students across the student lifecycle
• Address student concerns appropriately support academic success and engagement and refer wellbeing matters where needed
• Develop and support initiatives to improve student engagement retention progression and the overall student experience
• Coordinate and promote internships industry placements capstone projects applied learning opportunities guest lectures seminars workshops competitions and other experiential learning activities
• Support strategies that strengthen student employability career readiness and graduate outcomes
• Encourage a strong School identity and student community through academic professional and co-curricular engagement

Qualifications & Experience

A doctoral degree in Cybersecurity, Information Security, Computer Science, Information Technology, Computer Engineering, or a related discipline from a recognized institution. Minimum of 3 5 years of relevant industry and/or teaching experience primarily in cybersecurity, with applied familiarity or exposure to Artificial Intelligence/Data Science. Demonstrated expertise in core cybersecurity domains, including network security, ethical hacking, digital forensics, cloud security, cyber risk management, security operations (SOC), incident response, or Governance, Risk, and Compliance (GRC). Competency or practical knowledge in applied Artificial Intelligence/Machine Learning (e.g., AI in cybersecurity, data analytics, predictive models, or Python-based AI frameworks like Scikit-learn, TensorFlow, or PyTorch) is an added advantage. Professional cybersecurity certifications (e.g., CISSP, CISM, CEH, CompTIA Security+, CCSP, CHFI, GIAC, or equivalent) are highly regarded. Relevant AI/Cloud credentials are also valued. Previous experience teaching at a higher education institution and delivering courses in face-to-face, blended, or online learning environments. Strong communication, presentation, and interpersonal skills, with the ability to engage and motivate diverse student cohorts. Demonstrated commitment to academic excellence, student success, and continuous professional development. Familiarity with Learning Management Systems (LMS) such as Blackboard, Canvas, or Moodle is an advantage. Ability to maintain current knowledge of emerging cybersecurity threats, technologies, industry standards, and regulatory requirements.