Indian Institute of Technology, IIT Madras is offering internship opportunities to students of artificial intelligence and data science. The internship is for graduated students at Robert Bosch Centre for Data Science and Artificial Intelligence. Students can apply for this Post Baccalaureate Fellowship according to the positions available.
So, in this fellowship program of IIT Madras, students would get a monthly stipend ranging from Rs.40,000 to Rs.60,000.
Moreover, students would get access to one of the CPU and GPU high-performance computing infrastructure. They can attend the fully-funded trip of a national conference every year. Moreover, fellows will work with the excellent faculty in artificial intelligence and data science.
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ELIGIBILITY CRITERIA FOR POST BACCALAUREATE FELLOWSHIP
Know the eligibility criteria for applying for this Post Baccalaureate Fellowship in artificial intelligence and data science:
- Firstly, a candidate must have completed his or her graduation within the last two years.
- Secondly, he or she must possess excellent score throughout the undergraduate program
RESEARCH AREAS TO CHOOSE FOR INTERNSHIP PROGRAMME AT IIT MADRAS
So, students who contributed to open source projects will get a higher preference over others in this internship opportunity of IIT Madras.
There are many areas within which students can choose for their internship research. So, some of the areas include deep learning, network analytics, machine learning, language processing, ethics fairness, and explainability in artificial intelligence. Students can also choose smart cities and transportation, financial analytics, and systems biology, and healthcare.
DEADLINE FOR APPLYING FOR INTERNSHIP OPPORTUNITY AT IIT MADRAS
Students who want to apply for this internship opportunity can apply before 20th April 2021. Moreover, the authorities at the Indian Institute of Technology Madras would take the interview before May 7. So, students can go through the official website and fill the form available to apply for the internship opportunity.