LECTURER (BS-18) - AI, MACHINE LEARNING & CYBER SECURITY

University of Engineering and Technology (UET), Lahore; Lahore; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

University of Engineering and Technology (UET), Lahore invites applications for the position of Lecturer (BS-18) - AI, Machine Learning & Cyber Security (BS-18, Contract) for 01 post at the Main Campus.

The ideal candidate holds a Master’s degree / MS / M.Phil (18 years) in AI/ML/Cyber Security/CS with CGPA 3.0/4.0 or 73% marks from an HEC-recognized university, and will contribute to teaching, assessments, and student development across the department.

Qualifications

• Master’s degree (18 years education) in AI/ML/Cyber Security/CS with CGPA 3.0/4.0 or 73% marks from an HE C-recognized university.

Responsibilities

• Deliver syllabus-aligned lectures, design formative and summative assessments, and mentor students to foster academic excellence.

Education

Master’s degree / MS / M.Phil (18 years education) in Artificial Intelligence / Machine Learning / Cyber Security / Computer Science

Job description

Applications are invited for the position of LECTURER (BS-18) - AI, MACHINE LEARNING & CYBER SECURITY (BS-18 (Contract)) for 01 Post (Main Campus) in University of Engineering and Technology (UET), Lahore under Higher Education Department, Government of the Punjab with initial posting assigned across Main Campus, Lahore. This academic position is dedicated to delivering high-standard pedagogical instruction, curriculum dissemination, and fostering academic excellence within educational institutions.

Educators serving as LECTURER (BS-18) - AI, MACHINE LEARNING & CYBER SECURITY plan and deliver syllabus-aligned lessons, design formative and summative student assessments, and provide academic mentorship to support intellectual development. Candidates are required to hold Master’s degree / MS / M.Phil (18 years education) in Artificial Intelligence / Machine Learning / Cyber Security / Computer Science with CGPA at least 3.0/4.0 or 73% marks from an HEC-recognized university. Appointees contribute actively to institutional co-curricular development, examination oversight, and student character building.

Induction is governed through competitive screening examinations evaluating subject-matter expertise, pedagogical methodology, and professional aptitude, followed by departmental merit interviews.