Role Summary: The ideal candidate will demonstrate a strong commitment to teaching and academic excellence and possess the ability to inspire and mentor students in diverse areas of Computer Science and Engineering. The role involves delivering high-quality instruction, contributing to curriculum development, and collaborating on departmental initiatives aimed at fostering innovation and industry-academia partnerships. Area of Expertise 1. Core/Generic CSE 2. Cyber Security 3. Cloud and Dev Ops 4. AIML & Data Science 5. Gaming Technology 6. IoT & Robotics 7. DS/DAA, CP/DP programming 8. Full Stack Development Key Responsibilities: - Teach undergraduate/postgraduate courses in Artificial Intelligence, Machine Learning, Deep Learning, and Data Engineering - Design and deliver theory and hands-on lab sessions - Guide students in mini-projects, CAPSTONE projects, and live projects. - Develop course material, lesson plans,



and assessment tools - Encourage industry-aligned learning and emerging AI trends - Participate in academic administration and curriculum development. Required Qualifications: - Ph.D. in Computer Science and Engineering or a closely related discipline from a recognized university (candidates who have submitted their Ph.D. thesis may also apply). - First Class or equivalent at Master’s and Bachelor’s levels (MTech / BTech) in Computer Science and Engineering - A strong research profile demonstrated through publications in SCI or Scopus-indexed (non-paid) journals will be a significant plus. - Foreign degrees, if any, must be recognized or equivalenced by the competent authority as per UGC/AIU guidelines. Experience Required: - 1 to 4 years of teaching experience in academia. Freshers may apply. Compensation & Benefits: - Salary and perks as per the UGC scale.

📌 Assistant Professor of Computer Science (Mathura)
🏢 GLA University
📍 Mathura