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Director / Associate / Assistant professor Data Science

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Symbiosis Skills & Professional University

About Symbiosis Skill and Professional University (SSPU): Symbiosis Skill and Professional University (SSPU) is a leading institution focused on providing industry-relevant education and skill development. Part of the renowned Symbiosis group, SSPU offers a range of undergraduate, postgraduate, and diploma programs in fields like engineering, business, healthcare, and design. The university emphasizes hands-on learning, industry partnerships, and practical training to ensure students are job-ready. With modern infrastructure and a dynamic campus culture, SSPU is dedicated to shaping future professionals. Join our mission to empower tomorrow’s leaders by exploring exciting career opportunities with us!Location: Symbiosis Skill and Professional University Kiwale , PuneExperience<ul><li>Minimum 8-10 years of teaching experience in a recognized academic institution.</li><li>Research experience in computer science or IT, with Scopus / SCI / Indexed Journal a demonstrated ability to publish in peer-reviewed journals and conferences.</li><li>Knowledge of current trends and developments in computer science, software engineering, IT, AI, and data science.</li></ul>Education<ul><li>Holding a Ph.D is a Must B.Tech, M.Tech in Computer Science and Engineering, Information Science and Engineering, Artificial Intelligence and Machine Learning, or a closely related field. Desirable pursuing </li></ul> Roles and Responsibilities:<ul><li>Teach and Innovate teaching practices and support academic development initiatives undergraduate and postgraduate courses in CS and IT , AI / ML.</li><li>Develop and refine course materials and curricula in alignment with current industry trends.</li><li>Conduct and publish research in recognized journals and conferences.</li><li>Mentor and supervise graduate and doctoral students.</li><li>Foster industry collaborations and contribute to academic and research excellence.</li></ul>Skills and Competencies:<ul><li>Strong proficiency in programming languages (e.g., Python, Java, C++, etc.).</li><li>Familiarity with industry-standard tools and technologies.</li><li>Ability to communicate complex technical concepts effectively to students.</li><li>Ability to collaborate in multidisciplinary teams.</li></ul>

Director / Associate / Assistant professor Data Science

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