Graduate Student Experiences with Two Sigma
Financial Support to Focus on Research
Two Sigma Fellowship Recipients receive many forms of financial support, including:
- An award for two consecutive academic years of up to $75,000 USD per academic year to cover tuition and fees plus a stipend for living expenses, in the form of an unrestricted gift paid directly to the university
- A one-time award of $10,000 USD paid to the Fellowship recipient directly, which, as a condition of the fellowship, may only be used for tuition, fees required to enroll at or attend their university, and books, supplies, equipment and course-related fees for courses at their university
The financial provisions of Two Sigma fellowships help support doctorate students so they can better focus on their research.
$160k
award for tuition, fees, and supplies
Applying Theory to the Real World
We bring the brightest minds from all parts of the world to collaborate on tough problems, learn from each other, and advance our understanding of the world. Two Sigma graduate interns have the opportunity to work with Two Sigma colleagues to apply theory developed in the classroom to real world problems.
200+
Colleagues with PhDs
Networking with Two Sigma Leaders
Graduate students have unique opportunities to work with and connect with Two Sigma leaders during their time with us. Whether it’s fellowship research mentor meetings, chess tournament with graduate interns, or the annual PhD Symposium, Two Sigma colleagues enjoy the opportunity to meet with and share ideas with students.
The Two Sigma PhD Fellowship has provided me an opportunity to fully engage and concentrate on challenging research problems in the past year. In fact, my recent works on the Kahn-Kalai conjecture and the related conjectures of Talagrand were both completed while I was supported by the Two Sigma PhD Fellowship.
Huy Tuan Pham, PhD Student at Stanford
Two Sigma Fellow
At Two Sigma, I found a fertile ground for applying my PhD research into solving impactful real-world problems. Many of the skills I have gained over academic research can be transferable for the work I was doing at Two Sigma and I quite enjoy that.
Yu Shi, PhD Student at Yale
Quantitative Research Intern
My project this summer was very educational in a technical sense as I learned quite a few niche techniques to handle very specific data science problems. This included statistical modeling techniques as well as the use of hands-on tools needed to implement the project.
Mustafa Arif, Master's Student at MIT
Data Science Intern
