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
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 advantages as per the UGC scale.

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