Are you an AI researcher interested in social causes?
Do you yearn to apply your expertise in machine learning and AI?
Then continue reading for a unique opportunity!
Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) is a pre-eminent interdisciplinary research academic centres for Data Science and AI in India with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups. The primary mission is to develop ML and AI-based innovations to a broad range of domains, including manufacturing, infrastructure, smart cities, financial inclusion, and healthcare.
We work with central, state and local governments, industry, clinical sector, among many others, to gain transformative insights and actionable steps to make a credible impact on the relevant stakeholders.
The “Narayanan Family Foundation Fellowship in AI for Social Good” is a new program to attract early career AI researchers with exceptional promise to RBCDSAI, IIT Madras. The Fellows will be primarily drawn from recent PhD graduates, early career researchers in the following areas but not limited to: computer science, computational and data sciences, biomedical sciences, management, finance, or any branch of engineering.
Funded by The Narayanan Family Foundation, the Fellows will get a very attractive salary of 15-18 lakhs (approx. US$ 20,000 - 24,000) per year depending on the experience (equivalent to Assistant Professor’s starting salary at any IIT) for a non-renewable term of 3 years. The Fellows are also eligible for a one-time research grant of up to 30 lakhs (approx. US$ 40,000). The Fellows are expected to conduct their independent research under the mentorship of the Centre in the area of AI for Social Good and will have access to high-end compute infrastructure and datasets at RBCDSAI.
RBCDSAI collaborates with several governmental, non-governmental, health care institutions to work on many socially relevant projects. We work with The Tamil Nadu e-Governance Agency (TNeGA) to establish the Integrated and Inclusive Public Grievance CM Helpline Management System. Another project uses data science and AI techniques to locate optimally and allocate emergency ambulances, and also aims to understand the cause of road traffic accidents. In collaboration with Dvara Trust, we develop algorithms for predicting low-income households’ financial distress to draw attention to their economic well-being. Work with NGOs and clinical research institutions to improve child and maternal health and preterm risk categorisation of pregnant women. To get more information on these and other socially relevant projects currently running at RBCDSAI click here.