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 CSECyber SecurityCloud and Dev OpsAIML & Data ScienceGaming TechnologyIoT & RoboticsDS/DAA, CP/DP programmingFull Stack Development

Key Responsibilities:Teach undergraduate/postgraduate courses in

Artificial Intelligence, Machine Learning, Deep Learning, and Data EngineeringDesign and deliver

theory and hands-on lab sessionsGuide students in

mini-projects, CAPSTONE projects, and live projects.Develop

course material, lesson plans, and assessment toolsEncourage

industry-aligned learning





and emerging AI trendsParticipate 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 EngineeringA 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 & Perks:Salary and benefits as per the UGC scale.

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