Two Sigma PhD & Diversity PhD Fellowships

Two Sigma PhD Fellowship: The Two Sigma PhD Fellowship supports doctoral students pursuing a PhD in a STEM field such as Statistics, Applied Mathematics, Computer Science, Physics and Finance/Econometrics at an accredited university in the United States. Applications are assessed based on the student’s research proposal, publications and recommendation letters. Topics of interest include: machine learning & artificial intelligence, deep learning, reinforcement learning, natural language processing, computer vision, robotics, computational biology
For complete details, see: https://twosigma.avature.net/eventsignup/eventDetail/New-York-New-York-United-States-2023-Two-Sigma-PhD-Fellowship/11428
*Please note: for the internal application, you will only be asked to submit one letter of reference (from your advisor). If selected as one of the CS candidates, you will be asked to provide the name and contact information for a second reference (a professor/faculty member familiar with your work); this reference will be asked to submit a letter directly to Two Sigma on November 4. *

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 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 United States. We assess applications based on students’ research proposals, publications, and recommendation letters. Topics of interest include: machine learning & artificial intelligence, deep learning, reinforcement learning, natural language processing, computer vision, robotics, computational biology
For complete details, see: https://twosigma.avature.net/eventsignup/eventDetail/New-York-New-York-United-States-2023-Two-Sigma-Diversity-PhD-Fellowship/11427

  • 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, in the form of an unrestricted gift paid directly to the university.
  • 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 be assigned to the Fellowship recipient.

Award
Varies
Deadline
Supplemental Questions
  1. Will you be a full-time PhD student in Fall 2023 and Spring 2024?
  2. Will you be in at least your third year of your PhD program in Fall 2023?
  3. Will you have another industry fellowship in Fall 2023 or Spring 2024?
  4. Which of the following applies most closely to your research area:
  5. Do you identify as any of the following:
  6. Please provide a 500 word (max) research proposal, listing your main area of focus, relevance to the field and its applicability to Two Sigma.
  7. Please provide a single PDF containing your current CV and all graduate studies unofficial transcripts
  8. Please request a letter of recommendation from your thesis advisor - they will be sent a link in which to upload the letter. PLEASE LET THEM KNOW YOU WILL BE REQUESTING A LETTER NOW! They will not be requested until your application is submitted, and we want to give them as much time as possible to submit.
  9. Diversity, equity and inclusion (DEI) and broadening participation in computing (BPC) are an important part of the UIUC CS mission. Please write a brief paragraph telling us how DEI figures into your past and present teaching, research, community engagement, and your lived experience? How do you imagine incorporating attention to DEI into your future work?
  10. To the best of my knowledge, I have not committed any action that violates the UIUC Student Code or the CS Department Values and Code of Conduct.
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