Key Responsibilities:
- Deliver undergraduate courses in Computer Science, IT, AI, Data Science, and related fields.
- Design and update curriculum, lab manuals, and e-learning resources.
- Employ innovative pedagogy (project-based learning, blended teaching).
- Conduct independent and collaborative research in emerging technology domains.
- Publish at least 2 papers in reputed journals/conferences; contribute to patents and applied projects.
- Pursue funded projects and industry collaborations.
- Guide students in projects, dissertations, and internships.
- Support career development, placements, and entrepreneurship initiatives.
- Encourage participation in hackathons, coding competitions, and innovation cells.
- Contribute to accreditation processes (NAAC, NBA).
- Participate in departmental committees and institutional events.
- Organize seminars, workshops, and outreach programs.
Qualifications
• Education: M. Tech in relevant discipline (Ph.D. preferred).
• Experience: At least 5 years of Teaching/research experience desirable
• Industry exposure advantageous.
• Strong subject expertise in technology domains.
• Effective communication and presentation skills.
• Research aptitude with ability to integrate industry trends.
• Familiarity with academic compliance and accreditation standards.
