Job DescriptionWe are seeking a dedicated and highly motivated Assistant Professor in Computer Science & Engineering to join our faculty. The ideal candidate should have a strong academic background, research expertise, and a passion for teaching. The candidate will be responsible for delivering high-quality instruction, guiding student research, and contributing to the academic and research excellence of the department.
Key Responsibilities :
- Teach undergraduate and postgraduate courses in Computer Science & Engineering.
- Develop and deliver curriculum, course materials, and assessments in alignment with the university's standards.
- Guide and mentor students in academic projects, research work, and career development.
- Conduct high-quality research, publish in reputed journals / conferences, and secure research grants.
- Participate in departmental activities, faculty meetings, and curriculum development.
- Engage in interdisciplinary collaborations and contribute to the university's research initiatives.
- Provide academic advising and mentorship to students.
- Participate in accreditation, quality assurance, and administrative responsibilities.
- Stay updated with the latest advancements in Computer Science & Engineering and incorporate them into teaching and research.
Required Qualifications & Skills :
Educational Qualification : Ph.D. in Computer Science & Engineering or a related field. Candidates with an M.Tech. / M.E. with significant teaching and research experience may also be considered.Experience : Minimum of 03 years (for entry-level positions); prior teaching experience is an advantage.Technical Expertise : Strong knowledge in core areas like Data Structures, Algorithms, Machine Learning, Artificial Intelligence, Cybersecurity, IoT, Blockchain, Cloud Computing, and Software Engineering.Research & Publications : A strong record of research, publications in reputed journals / conferences, and experience in research project execution.Communication & Teaching Skills : Excellent presentation, communication, and interpersonal skills.Software & Tools : Proficiency in programming languages such as Python, Java, C++, and tools related to AI, ML, and cloud technologies.Commitment to Student Success : Passion for teaching, mentoring, and fostering a positive learning environment.Preferred Qualifications :
Industry experience in software development, AI / ML, networking, or cybersecurity.Certifications in relevant technologies (e.g., AWS, Google Cloud, AI / ML, Cybersecurity).Experience in securing research grants and working on funded projects.Salary & Benefits :
Competitive salary as per university norms.Research funding opportunities and professional development programs.Health benefits, retirement plans, and other perks.