Role Summary

The ideal candidate will demonstrate a robust 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 robust 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 & Perks:

Salary and benefits as per the UGC scale.

📌 Assistant Professor Of Computer Science Mathura
🏢 GLA University
📍 Mathura