SNU Chennai lauches Ph.D. Programs in Engineering, Sciences, Humanities, and Commerce
Budding researchers will have the option to pursue their doctoral research either Full-Time or Part-Time, depending on their preference.
Announcing the launch of the Ph.D. program, Dr. Sriman Kumar Bhattacharyya, Vice-Chancellor, Shiv Nadar University Chennai shared, “The decision to launch a robust doctoral program within a short time since the University’s inception is in line with our vision to become a premier research-oriented institution. This will help us achieve our objective to encourage and groom meritorious young talent into high-caliber researchers who will go on to create new knowledge that can drive a lasting impact. We will be offering doctoral program in innovative and progressive fields including Data Science, Speech Technology and Equity among others, which will combine academic rigor with practical insights and follow a multidisciplinary approach."
Researchers pursuing a Full-Time Ph.D. at the University will receive free shared accommodation within the campus along with a monthly stipend of Rs. 20,000 as well as a contingency amount of Rs. 25,000 per annum to help them expand and support their research activities.
Further, the Part-Time Ph.D. option can be availed by candidates working as full-time faculty with educational institutions or in research laboratories within India
The University will offer a wide range of specializations for the PhD programs including Artificial Intelligence and Machine Learning, Speech Technology, Data Science, Biometrics, Structural Engineering, Mergers and Acquisitions.
For more details - https://www.snuchennai.edu.in/research
Admission to the University is open to students who are Indian residents, Non-Resident Indians, Persons of International Origin as well as Foreign Nationals.
Interested research aspirants will be required to submit their application online latest by 31st January 2022 at https://apply.snuchennaiadmissions.com/ .
The admissions procedure will follow a two-step selection process, including a written test followed by an interview for short-listed candidates.
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