Research Fellow
Job Summary
Job Description
- Bachelor's or Master's in CS (or related)
- Strong academics & problem-solving skills
- Passion for research & software development
- 1-2 year commitment
- Industry-leading healthcare
- Educational resources
- Product & service discounts
- Savings & investment programs
- Maternity/paternity leave
- Generous time off
- Giving programs
- Networking opportunities
Job Details
Overview
*Please read the instructions below fully before applying
Microsoft Research India invites applications for its Research Fellows Program. The Research Fellows program exposes bright minds in India to world-class research and the state-of-the-art technology. The program prepares students for careers in research, engineering, as well as entrepreneurship. MSR India has some of the best researchers pushing the frontiers of computer science and technology.
Application Procedure
Apply with your resume and at least one letter of recommendation. You must also fill out the RF Interest Form at this link: . This form allows us to gather your interests so that we can match your application to appropriate projects within MSR. Once you have finished the application process you should see the option to add recommenders in the Action Center. They will then be sent an automated email with a link to upload their recommendation letters.
Qualifications
Candidates should have completed their Bachelor’s (BE/BTech/BS) or Master’s degree (ME/MTech/MS) in Computer Science (or related areas). We evaluate candidates on a combination of factors including academic performance, raw smarts, development skills, and passion for research and software development.
Responsibilities
RFs spend 1 to 2 years at MSR India. Different projects require a different combination of skills. Current and past RFs have worked on: solving deep theoretical problems, pushing the boundaries of AI, designing new programming languages, designing and implementing security protocols at scale, field work in rural India, increasing the inclusivity of large language models, research on fairness and ethics in AI, and designing and building large-scale software systems and networks. Regardless, they all consistently aim to create academic, industry, and societal impact.
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