Assistant Professor – Computer Science & Engineering (CSE)

Job Title: Assistant Professor – Computer Science & Engineering (CSE) / Artificial Intelligence & Data Science (AI & DS) Location: [Specify College/University Name & Location] Job Type: Full-time Department: Computer Science & Engineering (CSE) / Artificial Intelligence & Data Science (AI & DS) Job Summary: We are looking for a passionate and committed Assistant Professor to join our CSE / AI & DS department. The ideal candidate should have strong academic knowledge, research orientation, and a dedication to teaching and mentoring students in emerging technologies. Key Responsibilities: Teach undergraduate and postgraduate courses in Computer Science, AI, Machine Learning, Data Science, Cloud Computing, Cybersecurity, and related areas . Design and update course materials, ensuring alignment with industry trends and advancements. Guide students in academic projects, internships, and research activities. Conduct high-quality research and publish in reputed journals and conferences. Develop AI & DS lab infrastructure and mentor students in practical implementations. Engage in curriculum development and accreditation-related activities (AICTE, NBA, NAAC, etc.). Collaborate with industry for research projects, internships, and skill enhancement programs. Participate in faculty development programs, seminars, and workshops. Perform administrative duties as assigned by the department. Qualifications & Requirements: Educational Qualification: M.E./M.Tech/Ph.D. in Computer Science & Engineering, AI & DS, Data Science, or a related field from a recognized university. Experience: Teaching and research experience preferred; fresh Ph.D. graduates are encouraged to apply. Technical Skills: Expertise in programming (Python, Java, C++, etc.), AI/ML frameworks (TensorFlow, PyTorch), Big Data, Cloud Computing, and related technologies. Communication Skills: Strong verbal and written communication skills. Research Orientation: Proven record of research publications in reputed journals/conferences. Commitment to Teaching: Passion for mentoring students and engaging in innovative teaching practices. Preferred Qualifications: NET/SET/GATE qualification preferred. Experience in industry collaborations, funded research projects, and patents. Knowledge of accreditation processes like NBA/NAAC. Salary & Benefits: Competitive salary as per [Institution/AICTE norms] . Research funding and professional development opportunities. Access to industry collaborations and faculty development programs. Job Type: Full-time Work Location: In person Application Deadline: 16/06/2025