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Academic Partnerships

Supporting the Brightest Minds in STEM

Two Sigma’s Academic Partnerships program aims to support and recognize outstanding students and educators who share our passion for learning and seeking a deeper understanding of the world around us.

The Academic Partnerships program offers universities, research labs, professors, and students many ways to connect with Two Sigma. Our mission is to foster inclusive academic communities where academics of all backgrounds feel empowered to expand frontiers in STEM.

Opportunities

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Undergrad Students

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Graduate Students

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Professors and Universities

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Undergrad Students

Two Sigma offers two scholarship programs to support undergraduate students who are expanding frontiers in STEM as well as to improve representation in the field as part of our commitment to supporting diverse talent in tech.

In addition to this financial support, Two Sigma sponsors a yearly College Mentor Connect program. This 6-week remote summer mentorship program pairs early college students from historically underrepresented groups in STEM with Two Sigma tech professionals on open source projects in a learning-focused environment.

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Graduate Students

Two Sigma’s Academic Partnerships program offers graduate students many ways to connect with the Two Sigma community. Through fellowship programs and research funding, we take great pride in supporting the goals and initiatives of graduate students of all backgrounds.

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Professors and Universities

Our relationships with faculty and universities is an important element of our Academic Partnership programming. Beyond research funding opportunities, we offer consulting and partnership opportunities for professors and other members of the academic faculty.

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The Discovery: Two Sigma PhD Symposium

The Discovery, Two Sigma’s PhD Symposium brings together the top PhD students from across North America to exchange ideas with fellow doctoral students distinguished professors, and Two Sigma researchers.

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We constantly draw ideas and inspiration from the broader math, science, and investment communities. Collaborating with our academic partners through technical publications and presentations is just one way of giving back.

  • Engineering

    Bidirectional Recurrent Neural Networks

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  • Data Science, Engineering

    A 24x Speedup for Reinforcement Learning with RLlib + Ray

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  • Markets & Economy

    Thematic Research: Forecasting Factor Returns

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