• Highly interdisciplinary work environment, with leading
faculty in Data Science and AI
• Fellowship of Rs. 40,000-60,000 p.m.
• Access to state-of-the-art CPU / GPU high-performance
computing infrastructure
• Fully funded trip to a national conference every year
Eligibility
Criteria
• Bachelors' degree within the last two years
• Excellent academic performance throughout the
undergraduate program
• Proficiency in programming (high-level languages,
preferably Python / R / MATLAB)
• Contribution to open-source projects will be advantageous
About RBCDSAI
RBCDSAI
at IITM is the leading interdisciplinarity Data Science
and AI center in India and one of the few centers in the
world focussing on applications in various engineering
disciplines. We have one of the largest groups in the
country looking at networked data across different
disciplines and the top Deep Reinforcement Learning
group.
Areas of
Research
• Deep Learning
• Network Analytics
• Natural Language Processing
• Theoretical Machine Learning
• Reinforcement Learning and Multi-arm Bandits
• System Architecture for Data Science and AI
• Ethics, Fairness and Explainability in AI
• Systems Biology and Healthcare
• Smart cities and Transportation
• Financial Analytics
Mr. Senthamizhan V.,
Post Baccalaureate Fellow, RBCDSAI (from September 2019) and Alumnus of Anna
University (B.Tech., Industrial Biotechnology)
“I am involved in COVID-19 Disease Spread Analysis s where we partnered with ‘Facebook Data for Good’ initiative and analyse their
mobility data to study the trends in population movement. We aim to communicate
the findings to policymakers and help them make decisions in a data-driven
approach. Unlike other institutions, we get to work with industries directly
which opens an even wider range of opportunities in the future.”
Mr. Amrit Diggavi
Seshadri, Post Baccalaureate Fellow, RBCDSAI (from November 2019) and
B.Eng.(Hons.) Computer Science degree, The University of Edinburgh in July
2018
“At RBCDSAI, each Post Baccalaureate Fellow has the unique opportunity to
explore a research project of his interest, under a supervisor, with access to
high performance CPU/GPU resources. Group presentations and discussions
encourage innovative solutions and offer a unique perspective of different areas
of research. While the primary focus of the Fellowship program is independent
research, there are also a number of opportunities to get involved in
collaborative projects in the lab, as well as numerous seminars and guest
lectures that enhance your knowledge and introduce you to a broader research
ecosystem.”
Ms. Sivapriya
Vellaichamy, Post Baccalaureate Fellow, RBCDSAI (from August 2019) and an
Alumnus of IIT Madras (Dual Degree, Civil Engineering,
2018)
“Having graduated from IIT Madras with a dual degree, I worked in the finance
sector for a year. I applied for the program with the intention of learning more
about Machine Learning and its applications. What stood out for me is the
intellectual freedom I got to experience right from the beginning where I chose
my own project and the Professor to work with. The regular update meetings with
the professor helped me to stay on track, resolve any difficulties with the
project. I also had a chance to interact with researchers from Purdue University
who work on a similar research area. The regular seminars from researchers all
over the world, attending data science conferences, having teammates who work in
a wide variety of topics ranging from robotic hand control to justice in policy
is just the kind of exposure I wanted to have at the beginning of my career. It
has been a very positive experience having learnt a lot technically and
otherwise.”
Mr. Nilesh
Subramanian, Post Baccalaureate Fellow, RBCDSAI (from November 2019) and
Alumnus, SASTRA University (Integrated M.Tech in
Nanotechnology)
“I am working on using Machine learning in predicting TB drug resistant strains
and Diabetes-Helminth interaction study. I did get to experience the broad sense
of flavour in research as intended and gained a lot of knowledge on different
aspects of statistical techniques by working on multiple projects. The working
atmosphere is challenging and motivating in a way that pushes the boundary in
learning, understanding and conceptualising various ideas. I received a lot of
help from other scholars who are working here in understanding and learning
concepts throughout this period of time. There are many opportunities to meet,
interact and collaborate with scientists from various universities. It’s been
quite a journey till now.”
Robert Bosch Centre for Data
Science and Artificial
Intelligence
5th Floor, Biotechnology Block II, Bhupat & Jyoti
Mehta School of Biosciences
IITM, Chennai – 600 036, India
