Versions Compared

Old Version 4

changes.mady.by.user Hannah Gorrie

Saved on

compared with

New Version Current

changes.mady.by.user Hannah Gorrie

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

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

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.S

United States. We assess applications based on students’ research proposals, publications, and recommendation letters.

Tuition


  • Fellowship recipients will receive an award for two consecutive Academic years (not to exceed $75,000 USD per Academic year) to cover tuition and fees plus a stipend for living expenses

are covered for 2 consecutive academic years

  • , in the form of an unrestricted gift paid directly to the university.

(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

also

  • be assigned to the Fellowship recipient.

Two Sigma is interested in the following

disciplines:
  • Statistics – Topics of interest include: statistical learning, statistical inference, Bayesian statistics, optimization, time series analysis, high dimensional statistics, non-parametric statistics
    • Computer Science – Topics of interest include: machine

    computer science topics:

      • Machine learning & artificial intelligence
    , 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. university
    • Must be in at least their third
      • Deep learning
      • Reinforcement learning
      • Natural language processing
      • Computer vision
      • Robotics
      • Computational biology 

    Eligibility

      • Applicants must be full-time students currently pursuing a PhD at an accredited university in the United States.

      • Students must be in at least their 3rd year of a PhD program when the

    fellowship May not currently receive support through another, similar industry fellowship award

      • Fellowship begins (fall semester or quarter 2022). 

  • May not currently be a Two Sigma employee or related to one
    • Hannah Gorrie

      • Two 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

    1. Application Cover Page & Eligibility Verification – download this file to include as the first page in your application. (Student provides)
    2. CV/Resume - include current contact information (email, phone, and mailing address), education, publications, awards, and service. (Student provides)
    3. 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)
    4. 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/.
    5. 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 

    Please submit applications via Blackbaud by Thursday, October 21, 2021 at 11:59 PM. Contact Hannah Gorrie with any questions. If you are a new Blackbaud user, please consult this instructions page.

    For more details, see: https://

    www

    twosigma.

    twosigma.com/academic-outreach/

    avature.net/eventsignup/eventDetail/New-York-New-York-United-States-2022-Two-Sigma-Diversity-PhD-Fellowship/8907