Professor ( CSE - IT )

Minimum Qualifications

 Education: ME/MTech in Computer Science Engineering (CSE) or Information Technology (IT). Experience: Preference will be given to candidates with prior teaching experience at the collegiate level and a strong track record of research and publication in reputable journals.Key Responsibilities 1. Teaching and Instruction Deliver engaging, high-quality instruction for undergraduate and postgraduate courses in Computer Science Engineering and Information Technology. Utilize innovative teaching methods to ensure students develop critical thinking and technical skills.2. Industry-Related Training and Development Design and conduct industry-aligned training programs to equip students with practical skills required in the job market. Develop modules focused on emerging technologies such as Artificial Intelligence, Cyber security, Data Science, and Cloud Computing. Partner with industry experts to integrate real-world scenarios and case studies into academic learning.3. Research and Scholarship Conduct and publish high-impact research in reputable journals and conferences. Mentor students on research projects, fostering a culture of inquiry and innovation.4. Student Mentorship Provide academic advising and career guidance, supporting students’ academic progress and long-term professional goals. Assist students in developing research proposals and participating in academic competitions or conferences.5. Laboratory Oversight Design, supervise, and improve laboratory sessions to give students hands-on experience with the latest tools and techniques. Ensure that lab sessions complement theoretical instruction and support practical skill development.6. Assessment and Evaluation Prepare and evaluate exams, assignments, and projects to measure student learning outcomes effectively. Provide constructive feedback to students and ensure assessments align with course objectives.7. Committee Participation Contribute to academic and administrative committees, supporting departmental and institutional governance. Participate in decision-making processes regarding curriculum changes, student welfare, and departmental policies.8. Professional Development Engage in continuous professional development to stay current with advancements in Computer Science and Information Technology. Attend workshops, seminars, and conferences to enhance teaching and research capabilities.9. Community Engagement Participate in outreach programs to promote the department and its offerings. Develop collaborations with local industries and academic communities to enhance the department’s visibility and impact.10. Collaboration and Interdisciplinary Initiatives Work collaboratively with colleagues on interdisciplinary research and projects. Foster a collaborative environment that promotes innovation and cross-departmental engagement.Measurement Metrics1. Teaching Effectiveness: Monitor student feedback through evaluations and surveys. Track improvements in student performance and engagement metrics.2. Industry-Relevant Training Impact: Track student participation in industry-focused training sessions. Measure the effectiveness of training programs based on student placements and certifications achieved.3. Research Output: Measure the number of research publications in high-impact journals or conferences. Evaluate research collaborations and funded projects secured.4. Student Success: Track student progression rates and their success in internships, certifications, and placements. Assess student participation in research initiatives and competitions.5. Professional Growth: Track participation in professional development activities such as workshops, seminars, and certifications. ⠀Tools and Resources Teaching Tools: Learning Management Systems (LMS), e-learning platforms, and virtual lab tools.  Training Platforms: Software tools and resources for delivering industry-focused training programs. Research Tools: Access to journals, research databases, and computational resources for conducting research. Student Support Tools: Academic advising platforms and feedback mechanisms for student engagement. Collaboration Platforms: Communication and collaboration tools to engage with colleagues, students, and external partners.