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 (India)
🏢 GLA University
📍 India
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