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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