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 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 & Benefits :
Salary and benefits as per the UGC scale.