Program Overview

Introduction to the WSAI Post Bacc-W Fellowship Program

The Wadhwani School of Data Science and Artificial Intelligence (WSAI) offers a 2-year research fellowship program exclusively for women, providing a unique opportunity to work at India's top research center for Data Science and Artificial Intelligence.

Program Benefits

• Work at India's top research centre for DS & AI and interact with top scientists around the world, enhancing professional networks and research capabilities. This includes collaboration with esteemed researchers and scientists, providing a platform for knowledge sharing and skill development. Furthermore, the program offers the chance to engage with a diverse group of professionals, fostering a dynamic and inclusive research environment. The benefits of this interaction are multifaceted, including access to cutting-edge research, exposure to innovative methodologies, and the opportunity to contribute to meaningful projects. Additionally, the program facilitates the development of essential skills, such as teamwork, communication, and problem-solving, which are vital for success in the field of Data Science and Artificial Intelligence.
• Publish in top journals & A* Conferences, with support from the centre for any publication in a top-tier venue. This support encompasses guidance on manuscript preparation, submission, and revision, ensuring that research is presented in a clear and concise manner. The program's emphasis on publication in renowned journals and conferences provides a platform for fellows to showcase their research, receive feedback from the academic community, and establish themselves as experts in their field.
• Be mentored by women experts from academia or industry, providing valuable guidance and support. The mentorship program is designed to foster a supportive and inclusive environment, where fellows can discuss their research, receive feedback, and explore opportunities for growth and development. The mentors, who are experienced professionals in their field, offer a unique perspective on the challenges and opportunities in Data Science and Artificial Intelligence, helping fellows to navigate their research journey.
• Access to state-of-the-art CPU/GPU and possibility of earning course credits in IITM, facilitating research and skill development. The program's infrastructure is designed to support innovative research, with access to cutting-edge technology and resources. The opportunity to earn course credits in IITM provides a platform for fellows to expand their knowledge, explore new areas of interest, and enhance their skills in a supportive and stimulating environment.
• Fully funded trip to a national conference every year, providing a platform for networking and knowledge sharing. The conference offers a unique opportunity for fellows to engage with professionals from diverse backgrounds, share their research, and learn about the latest developments in the field. The fully funded trip ensures that financial constraints do not limit participation, allowing fellows to focus on their research and professional development.
• Attend ACM-W, Grace Hopper Celebration of Women in Computing, etc., facilitating networking and community engagement. These events provide a platform for fellows to connect with women in computing, share experiences, and learn from each other. The program's emphasis on community engagement and networking helps to foster a sense of belonging, providing a supportive environment where fellows can grow and develop.

Testimonial

"My experience at WSAI has been truly enriching, both personally and professionally. The freedom to choose my research problem and collaborate with esteemed doctors on meaningful projects has been profoundly rewarding. The freedom to engage with research topics of my interests, expert guidance, and collaboration with exceptional peers have significantly enhanced my technical skills. This experience has not only deepened my appreciation for teamwork and multidisciplinary research but also expanded my understanding of making meaningful contributions to society." - Abjasree S, Data Scientist, Datycs

Eligibility Criteria

The applicants should have a 4-year Bachelors or a Masters degree in areas relevant to WSAI. Applicants under the age of 28 years are encouraged to apply.