Assistant Professor Computer Science Engineering Job

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.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.