IIT Madras’ Initiatives on Artificial Intelligence

IIT Madras’ Initiatives on Artificial Intelligence

The Indian Institute of Technology Madras has developed a fellowship program to encourage early-career AI researchers. The Narayanan Family Foundation and the Institute's Robert Bosch Centre for Data Science and AI have teamed up to build a fellowship in Artificial Intelligence for Social Good.

The application is available to artificial intelligence researchers who want to use their skills for the betterment. The Indian Institute of Technology Madras hopes to attract recent PhD graduates or newly qualified researchers in computer science, computational and data sciences, biomedical sciences, management, finance, and other engineering departments with outstanding educational achievements to RBCDSAI through this program, which is funded by the Narayanan Family Foundation.

With India's largest network analytics and deep reinforcement learning study groups, RBCDSAI is a world's most prominent interdisciplinary research academic centre for Data Science and AI. It also has the most involved deep learning and natural language processing classes. The organization's key goal is to conduct basic AI research and to apply Data Science and AI-based technologies to a wide range of industries, including manufacturing, infrastructure, smart cities, healthcare, and so on.

Selected candidates will receive a salary of Rs 15 to 18 lakhs per year for three years as part of the Narayanan Family Foundation Fellowship in AI for Social Good. Fellows will also be entitled to receive a one-time research grant of up to Rs. 30 lakhs.

The fellows will conduct independent research in the field of AI for social good under the supervision of the Centre and will have exposure to the RBCDSAI's high-end compute resources and datasets.

Now is the time to submit your application. Interested candidates can visit the following link to apply for the Fellowship – https://rbcdsai.iitm.ac.in/nf3/

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net