Adjunct Lecturer

Position Summary

The Adjunct Faculty member in BSc Computer Science will be responsible for delivering high-quality teaching and academic support to undergraduate students enrolled in Computer Science programmes. The successful candidate will provide instruction across a range of core and elective computer science courses, contribute to curriculum development, and ensure effective student learning through innovative teaching practices and continuous engagement.

Key Responsibilities

• Deliver lectures, tutorials, and practical sessions in areas such as programming, software development, databases, computer networks, data structures, algorithms, and related computing subjects.

• Develop and update course materials, lesson plans, and assessments in alignment with programme learning outcomes and institutional standards.

• Evaluate and assess student performance through coursework, projects, examinations, and class participation.

• Provide academic support and guidance to students, including feedback on assignments and projects.

• Participate in moderation, grading, and quality assurance processes to ensure academic integrity and fairness in assessment.

• Contribute to the review and enhancement of the undergraduate Computer Science curriculum, ensuring alignment with current industry trends and technologies.

• Maintain subject expertise by staying updated on emerging technologies and pedagogical practices in computer science education.

• Support student learning through the Learning Management System (LMS) and other digital platforms.

• Attend faculty meetings, training sessions, and workshops as required by the School.

• Adhere to institutional policies, including academic conduct, student engagement, and data confidentiality.

Qualifications:

• Minimum Qualification: Master’s degree in Computer Science, Information Technology, or a closely related field.

• Preferred Qualification: PhD in Computer Science or related discipline.

Experience:

Minimum of 2 years of teaching experience in higher education (undergraduate level preferred).

Industry experience in software engineering, data science, or related computing fields is an advantage.

Demonstrated experience in online and blended learning delivery.

Technical Skills: Proficiency in programming languages (e.g., Python, Java, C++), database management, software engineering tools, and emerging technologies such as AI or cloud computing

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