Assistant Professor of Computer Science

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

AI, ML, Deep Learning & Data Engineering

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.
- Use tools/frameworks such as Python, Tensor Flow, PyTorch, Scikit-learn, Hadoop/Spark
- 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:

- 4 to 8 years of teaching experience in academia.

Compensation & Benefits:

- Salary and benefits as per the UGC scale.

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