Assistant Professor

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.