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

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Education:

M. Tech in relevant discipline (Ph.D. preferred).

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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.