Computer Applications - Assistant Professor

Key Responsibilities:

1. Teaching & Academic Duties

• Deliver lectures, tutorials, lab sessions for undergraduate and postgraduate courses (e.g., BCA, MCA, BSc IT).
• Teach core subjects such as:
• Programming (C, C++, Java, Python),
• Web Technologies,
• Data Structures,
• Operating Systems,
• Database Management Systems (DBMS),
• Software Engineering,
• Computer Networks, etc.
• Design course materials, lesson plans, and assessment tools.
• Conduct internal assessments, viva voce, and student evaluations.
• Maintain academic records and ensure curriculum compliance.

2. Research & Development

• Engage in research activities in areas like AI/ML, Cybersecurity, IoT, Data Science, Cloud Computing, etc.
• Publish papers in peer-reviewed journals and participate in academic conferences.
• Apply for grants or collaborate on interdisciplinary research projects.

3. Lab & Project Supervision

• Guide students in practical labs and ensure proper use of hardware/software tools.
• Supervise mini and major projects, especially for final-year students.
• Evaluate project reports and presentations.

4. Academic & Institutional Contribution

• Participate in syllabus review, curriculum development, and accreditation processes (NAAC, NBA).
• Support organizing seminars, workshops, coding competitions, and technical events.
• Serve on academic or administrative committees as required.

5. Mentorship & Student Support

• Act as a mentor for assigned students, providing academic and career guidance.
• Support students preparing for internships, certifications, or placements.

Qualifications & Experience:

• Education:
• MCA / M.Sc in Computer Science / M.Tech (CSE/IT) from a recognized institution
• Ph.D. (awarded or pursuing) in Computer Science or related domain (as per UGC norms preferred)
• Experience:
• 0–3 years of teaching or industry experience in relevant subjects
• Freshers with a strong academic and technical background may also apply

Skills & Competencies:

• Proficient in at least one programming language and development tools
• Familiar with open-source platforms and new-age tech (AI, IoT, Data Science, etc.)
• Strong communication and presentation skills
• Ability to integrate technology into teaching (e.g., LMS, MOOCs, coding platforms)
• Commitment to student success and continuous professional development