Website:
svyasa.edu.in
Job details:
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 Metrics
1. 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.
Click on Apply to know more.