Overview
The Shastri Research Fellowship presents a unique opportunity for researchers enrolled in Indian universities to travel to Canada and engage in high-quality research. This fellowship is designed for various academic levels, including Bachelors, Masters, PhD, and Postdoctoral researchers, focusing on significant advancements in the field of machine learning.
Background & Relevance
Machine learning, particularly in healthcare, is a rapidly evolving field that leverages advanced algorithms to improve patient outcomes and operational efficiencies. The integration of semi-supervised learning techniques, especially when applied to health problems using wearable sensors and computer vision, is crucial for developing innovative solutions. This fellowship aims to foster research that contributes to this important domain, ultimately leading to impactful publications.
Key Details
- Eligibility: Researchers must be enrolled in an Indian university listed on the Shastri Institute member council.
- Research Areas: Focus on Machine Learning, Deep Learning, Semi-supervised Learning, wearable sensors, and computer vision.
- Expertise Required: Proficiency in MATLAB, Python, and deep learning libraries such as PyTorch.
- Expected Outcomes: High-quality publications resulting from the research.
- Application Deadline: August 28, 2019, by 5:00 PM IST.
Eligibility & Participation
This fellowship is targeted at students and researchers at various academic stages, from Bachelors to Postdoctoral levels, who are affiliated with eligible Indian institutions. Candidates must meet the specific conditions outlined in the fellowship call.
Submission or Application Guidelines
Interested candidates should send the following documents to Dr. Shehroz Khan at shehroz.khan@utoronto.ca:
– A CV (maximum of 2 pages)
– A research statement (1 page)
– A list of publications (if applicable)
– Links to GitHub or other extracurricular activities (if applicable)
Only selected candidates will be contacted for interviews, and irrelevant queries may not receive a response.
Additional Context / Real-World Relevance
The Shastri Research Fellowship aligns with the growing emphasis on international collaboration in research, particularly in the fields of AI and machine learning. By facilitating research exchanges, it enhances the global knowledge base and encourages innovative solutions to pressing health challenges.
Conclusion
This fellowship offers a valuable opportunity for Indian researchers to expand their horizons and contribute to impactful research in Canada. Interested candidates are encouraged to apply and take advantage of this unique chance to advance their academic careers and make significant contributions to the field of machine learning.
Category: PhD & Postdoc Positions
Tags: machine learning, deep learning, semi-supervised learning, healthcare, wearable sensors, computer vision, shastri fellowship, university of toronto, research funding, academic opportunities
