DY Patil University

Job Title: Professor / Associate Professor – Computer Science & Engineering (Artificial Intelligence & Machine Learning, Computer Science & Engineering, Data Science) Institution: Ramrao Adik Institute of Technology (RAIT), DY Patil Deemed to be University Location: Navi Mumbai, Maharashtra Employment Type: Full-Time, Permanent Department: Computer Science & Engineering (AI) About RAIT: Ramrao Adik Institute of Technology (RAIT), established in 1983, is a premier engineering institution under DY Patil Deemed to be University, Navi Mumbai. Accredited with NAAC A++, RAIT is renowned for its commitment to academic excellence, vibrant research culture, and strong industry interface. With world-class infrastructure and a future-focused approach, RAIT offers an ideal platform for educators and researchers to grow, lead, and make meaningful contributions to society. Position Summary: We are seeking dynamic, innovative, and experienced individuals Professor / Associate Professor who are passionate about teaching and research in Artificial Intelligence & Machine Learning (AI & ML), Deep Learning, Big Data, Python, TensorFlow, Cloud Platforms, or similar emerging tech. The candidate will be responsible for delivering high-quality education, advancing research, and contributing to the overall growth of the department and institution. This is an opportunity to join a forward-thinking academic team and shape the future of AI and ML education and innovation. Key Responsibilities: l Deliver engaging and up-to-date lectures in core AI domains: Machine Learning, Deep Learning, NLP, Computer Vision, Big Data, Python, TensorFlow, Cloud Platforms, or similar emerging tech etc. l Guide undergraduate, postgraduate students in academic, project, and research work. l Conduct high-impact research and publish in reputed peer-reviewed journals and conferences. l Collaborate on interdisciplinary research and establish industry-academic partnerships. l Develop and continuously improve AI curriculum in line with industry trends and academic advancements. l Participate in departmental planning, accreditation (NAAC/NBA) processes, and faculty development. l Mentor junior faculty and promote a culture of research, innovation, and academic excellence. Educational Qualifications: l Ph.D. in Computer Science & Engineering, Artificial Intelligence, or a closely related field (mandatory for Professors). l M.Tech in Computer Science or Information Technology. l UG: B.E. / B.Tech in a relevant discipline. Experience Requirements: Professor: Minimum 10 years of teaching/research experience in relevant fields, including at least 5 years at the level of Associate Professor. Associate Professor: Minimum 5 years of teaching or research experience. Ph.D. holders are encouraged to apply. Key Skills: Artificial Intelligence and Machine Learning Research and Publication in AI and Emerging Technologies Curriculum Development and Outcome-Based Education (OBE) Academic Leadership (for Professor level)