Assistant Professor - Computer Science Engineering

Dayananda Sagar University; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Dayananda Sagar University in Bengaluru invites applications for Assistant Professor in Computer Science & Engineering. The role involves teaching undergraduate and postgraduate courses, guiding student projects, and contributing to curriculum development as per AICTE/UGC norms.

The ideal candidate will have a Ph.D. in CSE or related field, strong research publications, and a track record in teaching and industry collaboration.

Qualifications

• B.E./B.Tech. and M.E./M.Tech. in Computer Science & Engineering or relevant specialization with First Class or equivalent either at Bachelor's or Master's level.
• Ph.D. in Computer Science & Engineering / related discipline.
• Relevant certifications in AI, Machine Learning, Cloud Computing, Cyber Security, Data Analytics, or emerging technologies.
• Record of quality publications, patents, funded projects, or consultancy assignments.
• Prior teaching, research, or industry experience will be preferred.

Responsibilities

• Deliver lectures, tutorials, laboratory sessions, and project guidance in Computer Science & Engineering subjects.
• Develop course plans, lesson plans, and teaching materials.
• Conduct assessments, examinations, and evaluations as per institutional regulations.
• Mentor students for academic excellence, internships, and career development.
• Adopt innovative teaching methodologies, outcome-based education (OBE), and digital learning platforms.

Skills

Effective classroom delivery

Analytical & problem-solving

Research aptitude

Team collaboration

Mentoring & student guidance

LMS proficiency

Education

B.E./B.Tech. in Computer Science & Engineering or relevant specialization with First Class or equivalent at Bachelor's level

M.E./M.Tech. in Computer Science & Engineering or relevant specialization with First Class or equivalent at Master's level

Ph.D. in Computer Science & Engineering / related discipline

Certifications in AI, Machine Learning, Cloud Computing, Cyber Security, Data Analytics, or emerging technologies

Record of quality publications, patents, funded projects, or consultancy assignments

Prior teaching, research, or industry experience

Tools

Programming Languages (C, C++, Java, Python)

Data Structures & Algorithms

Database Management Systems

Operating Systems

Computer Networks

Artificial Intelligence & Machine Learning

Data Science & Analytics

Cyber Security

Cloud Computing

Software Engineering

Web Technologies

IoT

Job description

Position Title - Assistant Professor - Computer Science & Engineering (CSE)

Department Computer Science & Engineering

Position Summary

The Assistant Professor in the Department of Computer Science & Engineering will be responsible for teaching undergraduate and postgraduate courses, conducting research, mentoring students, contributing to curriculum development, and participating in academic, administrative, and accreditation-related activities in accordance with the norms prescribed by AICTE and UGC.

Key Responsibilities

Teaching & Learning

• Deliver lectures, tutorials, laboratory sessions, and project guidance in Computer Science & Engineering subjects.
• Develop course plans, lesson plans, and teaching materials.
• Conduct assessments, examinations, and evaluations as per institutional regulations.
• Mentor students for academic excellence, internships, and career development.
• Adopt innovative teaching methodologies, outcome-based education (OBE), and digital learning platforms.

Research & Publications

• Undertake research activities in the areas of Computer Science, Artificial Intelligence, Data Science, Cyber Security, Cloud Computing, Software Engineering, etc.
• Publish research papers in reputed journals/conferences.
• Prepare and submit proposals for sponsored research and consultancy projects.
• Guide student projects, research activities, and innovation initiatives.

Academic Administration

• Participate in curriculum design and revision.
• Contribute to NBA, NAAC, NIRF, and accreditation processes.
• Maintain course files, laboratory records, and academic documentation.
• Serve on departmental and institutional committees.

Industry Interaction & Extension Activities

• Organize workshops, FDPs, seminars, hackathons, and technical events.
• Support placement, internship, entrepreneurship, and innovation activities.

Essential Qualifications

• B.E./B.Tech. and M.E./M.Tech. in Computer Science & Engineering or relevant specialization with First Class or equivalent either at Bachelor's or Master's level.
• Ph.D. in Computer Science & Engineering / related discipline.
• Relevant certifications in AI, Machine Learning, Cloud Computing, Cyber Security, Data Analytics, or emerging technologies.
• Record of quality publications, patents, funded projects, or consultancy assignments.
• Prior teaching, research, or industry experience will be preferred.

Required Technical Competencies

• Programming Languages (C, C++, Java, Python)
• Data Structures & Algorithms
• Database Management Systems
• Operating Systems
• Computer Networks
• Artificial Intelligence & Machine Learning
• Data Science & Analytics
• Cyber Security
• Cloud Computing
• Software Engineering
• Web Technologies
• Internet of Things (IoT)

Desired Skills

• Effective classroom delivery and communication skills.
• Strong analytical and problem-solving abilities.
• Research aptitude and publication potential.
• Ability to work collaboratively in multidisciplinary teams.
• Proficiency in LMS, online teaching tools, and educational technologies.
• Student mentoring and counseling skills.

Performance Indicators (KPIs)

• Course delivery effectiveness and student feedback.
• Research publications and citations.
• Sponsored projects and consultancy revenue.
• Student mentoring and placement support.
• Contribution to accreditation, ranking, and institutional development.
• Participation in FDPs, workshops, and professional development activities.