Assistant Professor- Computer Science & Engineering (CSE)

Assistant Professor -Computer Science & Engineering (CSE)

The Assistant Professor in Computer Science & Engineering will engage in high-quality teaching, research, and academic advising. The role involves delivering undergraduate/graduate courses, contributing to curriculum development, publishing scholarly work, and supporting departmental activities.

Key Responsibilities

Teaching & Instruction

• Teach undergraduate and/or postgraduate courses in core and elective areas of CSE (e.g., Data Structures, Algorithms, DBMS, Operating Systems, AI/ML, Networks, Cloud Computing).
• Prepare lesson plans, instructional materials, lab exercises, and assessments.
• Use modern pedagogical tools and learning management systems.
• Guide students in projects, seminars, internships, and technical competitions.

Research & Publications

• Conduct independent and collaborative research in relevant areas of CSE.
• Publish in peer-reviewed journals and conferences.
• Apply for research grants and participate in funded projects.
• Supervise undergraduate/postgraduate research work.

Academic Administration & Service

• Participate in departmental committees, accreditation work (NAAC/NBA/ABET), and institutional events.
• Contribute to curriculum review and development.
• Assist in student mentoring, academic advising, and career guidance.
• Help organize workshops, FDPs, hackathons, and technical events.

Industry & Community Engagement

• Build collaborations with industry, research labs, and other academic institutions.
• Facilitate internships, industrial visits, and skill-based training programs.
• Engage in community outreach and extension activities.

Qualification

• Ph.D. in CSE (Thesis Submitted).
• Research publications in reputed journals/conferences.
• Experience with modern technologies (AI/ML, Data Science, Cybersecurity, Cloud, IoT, etc.).
• Prior teaching or industry experience.

Skills & Competencies

• Strong programming skills (C/C++, Java, Python, etc.)
• Knowledge of modern tools/technologies (Git, Docker, AWS/Azure/GCP, TensorFlow, etc.)
• Ability to conduct impactful research.
• Student-centric teaching approach.
• Teamwork, professionalism, and continuous learning mindset.