We 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 highquality 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 universitys standards.
- Guide and mentor students in academic projects research work and career development.
- Conduct highquality 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 universitys 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 0 3 years (for entrylevel 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.
Fluent in English, adept at teaching grammar and pronunciation, skilled in fostering language immersion, and experienced in cultural education.
Education
B.E ,M.E