Professor in Data Science

1 day ago

India Dayananda Sagar University Full time
Job Title: Research Professor – Computer Science Engineering Location: Dayananda Sagar University, Bangalore, India

Department: Computer Science Engineering, AI & ML, Data Science & Robotics

About Dayananda Sagar University:

Dayananda Sagar University is a leading institution dedicated to advancing knowledge through research, innovation, and collaboration. We foster an environment that encourages cutting-edge research and impactful technological solutions.

Dayananda Sagar University invites applications for the position of Research Professor in the Department of Computer Science Engineering. The ideal candidate will possess over 15-20 years of research experience. The role is focused on driving high-impact research projects, mentoring research scholars, and contributing to the university's mission of research excellence.

Lead and coordinate advanced research projects in Computer Science Engineering.

Publish original research in high-impact international journals and present at premier conferences.

Mentor PhD scholars and research students, guiding their research work and development.

Secure external research funding through grants, consultancy, and collaboration with industry partners.

Facilitate interdisciplinary research and foster collaborations within the university and with external institutions.

Organize workshops, seminars, and conferences to promote research culture.

Provide expert advice on research policy, strategy, and development within the department and university.

Contribute to academic leadership and participate in research-focused committees and initiatives.

Qualifications and Experience:

PhD in Computer Science Engineering or a closely related discipline from a recognized institution.

A minimum of 15-20 years of experience in research, teaching, or industry.

Demonstrated excellence in research through publications in reputed journals and conferences.

Proven ability to lead large-scale research projects and secure funding.

Experience in supervising doctoral research scholars.

Strong expertise in key areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Software Engineering, or related fields.

Strong network with academic and industry research organizations.

Experience in patenting, technology

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