Role Summary: The ideal candidate will demonstrate a solid 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 Core/Generic CSE Cyber Security Cloud and Dev Ops AIML & Data Science Gaming Technology IoT & Robotics DS/DAA, CP/DP programming 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 benefits as per the UGC scale.

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