Department Deadline: 10/21/2021
External Deadline: 11/5/2021this Award can be in Blackbaud
| Two Sigma Diversity PhD Fellowship | At Two Sigma we understand that diversity drives innovation, and we actively seek to promote the visibility and inclusion of women, LGBTQ+ people, and those from ethnic and racial backgrounds that remain under-represented in technology. One way we foster greater inclusivity is through |
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the Two the Two Sigma Diversity PhD Fellowship, which supports doctoral students in STEM fields such as Statistics, Applied Mathematics, Computer Science, Physics and Finance/Econometrics at accredited universities in the |
U.SUnited States. We assess applications based on students’ research proposals, publications, and recommendation letters. |
Tuition are covered for 2 consecutive academic years (The total award will not exceed $75,000 USD per Academic year.) Fellowship recipients will also receive 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. A Two Sigma Research Mentor will
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also Two Sigma is interested in the following |
disciplinesComputer Science – Topics of interest include: machine learning Statistics – Topics of interest include: statistical learning, statistical inference, Bayesian statistics, optimization, time series analysis, high dimensional statistics, non-parametric statistics- Machine learning & artificial intelligence
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, deep learning, reinforcement learning, natural language processing, computer vision, robotics, computational biology.Physics – Topics of interest include: applications of machine learning, simulation & big data techniques to physics, including particle physics, astrophysics, condensed matter.Applied Mathematics – Topics of interest include: linear / nonlinear optimization, numerical analysis, financial mathematics, operations research, probability, differential equations, signal processing.Finance/Econometrics – Topics of interest include: machine learning & empirical asset pricing, game theory, market microstructures, agent based models, behavioral finance, quantitative finance, volatility modeling & forecasting, optimal execution, portfolio optimization, derivatives modeling, high frequency econometrics, theoretical asset pricing, dynamic equilibrium models, stochastic models, option pricing, credit risk modeling, asset covariance estimation, inference, high-dimensional data, financial optimization-optimal execution, portfolio optimization, optimal hedging.Eligibility
Must be full-time PhD students currently pursuing a doctorate at an accredited U.S. universityMust be in at least their third - Deep learning
- Reinforcement learning
- Natural language processing
- Computer vision
- Robotics
- Computational biology
Eligibility |
fellowship May not currently receive support through another, similar industry fellowship awardMay not currently be a Two Sigma employee or related to oneTwo Sigma employees, contractors/consultants & relatives are not eligible. Students that are already supported by another industry fellowship are not eligible.
The department can nominate up to 3 PhD students. Their goal is essentially to sponsor outstanding research in STEM fields and therefore establish a long lasting partnership between Faculty, students, and Two Sigma. |
Applications
- Application Cover Page & Eligibility Verification – download this file to include as the first page in your application. (Student provides)
- CV/Resume - include current contact information (email, phone, and mailing address), education, publications, awards, and service. (Student provides)
- Research Proposal – listing your main area of focus, relevance to the field and its applicability to Two Sigma (3000 characters/~500 word max) (Student provides)
- Transcripts - For Internal Review, unofficial transcripts are fine; however, note that official Academic transcripts (PhD Graduate Degree only, all years) are required if selected for external nomination. (Student provides) Note: Official electronic transcripts can be processed in a single day: https://registrar.illinois.edu/transcripts/.
- Letters of Recommendation (2 required) – one must be from your current academic advisor, and the other must be from a professor in the department or related department who is familiar with your research. Letters can go directly to Hannah at hpgorrie@illinois.edu.
Note: Students, submit ONE PDF named "Last Name, First Name - Two Sigma F21." (example: Gorrie, Hannah - Two Sigma F21). Letters should go directly from recommendor to Hannah at hpgorrie@illinois.edu.
Materials should be submitted by______________to Hannah Gorrie.wwwtwosigma.com/academic-outreach/