Role Overview

We are seeking a dedicated Assistant Professor/Lecturer in Computer Science & Engineering to contribute to high-quality teaching, impactful research, and student mentoring within a dynamic academic environment.

Responsibilities

Teaching & Learning: Deliver high-quality teaching at undergraduate and postgraduate levels. Prepare course plans, lesson plans, teaching materials, laboratory manuals, and assessment tools. Employ innovative teaching methodologies and technology-enabled learning practices. Ensure effective student engagement and achievement of course outcomes.
Student Mentoring: Mentor and guide students in academic, project, internship, and career development activities. Supervise B.Tech. and M.Tech. projects and encourage participation in technical competitions, hackathons, and innovation programs. Provide academic counseling and support to students inside and outside the classroom.
Research & Publications: Conduct quality research in emerging areas of Computer Science & Engineering. Publish research papers in reputed journals and conferences. Contribute to funded research projects, consultancy assignments, patents, and innovation activities. Collaborate with faculty members on interdisciplinary research initiatives.
Industry Engagement: Support industry-academia collaborations, internships, and certification programs. Participate in organizing workshops, seminars, guest lectures, and faculty development programs. Facilitate industry interaction to enhance students' employability and practical skills.
Academic Administration: Assist in curriculum development, course coordination, examination activities, and departmental administration. Contribute to accreditation and quality assurance initiatives such as NBA, NAAC, NIRF, and related academic processes. Participate in university committees and institutional development activities as assigned.
Institutional Contribution: Support admissions, student outreach, branding, and placement activities. Contribute to the university's vision of academic excellence, innovation, and global engagement. Undertake any other academic or administrative responsibilities assigned by the department or university from time to time.

Requirements

Qualification: Ph.D. (Thesis Submitted/Thesis Awarded) in Computer Science & Engineering, Information Technology, or a relevant specialization from a reputed institution. M.Tech./M.E. in Computer Science & Engineering, Information Technology, or a related discipline with a consistently strong academic record. Minimum qualifications as per UGC norms.
Experience: 0-5 years of teaching, research, or relevant industry experience. Candidates with a strong research aptitude, publications, and industry experience will be preferred. Fresh Ph.D. graduates with a strong research profile are encouraged to apply.
Preferred Specializations: Expertise or research interest in areas including Artificial Intelligence & Machine Learning, Data Science & Analytics, Cyber Security, Cloud Computing & DevOps, Full Stack Development (Java/Python), Internet of Things (IoT), Computer Networks, Software Engineering, Blockchain Technology, Computer Vision, Natural Language Processing, Database Management Systems, and Operating Systems.
Desired Profile: Excellent communication skills (both written and spoken English). Strong subject knowledge and passion for teaching and research. Ability to work collaboratively in a multidisciplinary academic environment. Commitment to continuous learning, innovation, and student success. Familiarity with modern educational technologies and learning management systems will be an added advantage.