Fellowships

Each year, D. E. Shaw Research organizes highly selective paid fellowship programs for undergraduates, graduate students, and postdoctoral researchers working in scientific and technical fields relevant to our group’s research. Each of our fellowship programs is an intensive, two-day symposium that includes scientific and technical presentations and workshops, career development discussions, and networking with peers and members of our team.

We anticipate having between 20 and 30 participants for each of our fellowship programs, which will take place in person at our New York City offices. We will cover hotel and transportation costs, and each participant will receive a $1,500 stipend.

Please see below for more information about each of our programs. (You may also address any questions about our fellowship programs to DESRESFellowship@DEShawResearch.com.)

DESRES Doctoral & Postdoctoral Fellowship

  • The application deadline for our April 4 and 5, 2024, fellowship has passed; we will notify applicants of our decisions in early March.

  • This fellowship is open to all individuals enrolled in a doctoral or postdoctoral program at a U.S.-based institution who apply computational (including machine learning) or theoretical approaches to address important scientific problems in biophysics, chemistry, drug discovery, or related fields. We embrace diversity along all dimensions, and encourage applications from those who self-identify with historically underrepresented groups in STEM.

DESRES Undergraduate & Master’s Fellowship

  • This fellowship will take place in summer 2024. Application details will be shared when the program dates are announced.

  • We welcome applications from all individuals enrolled in an undergraduate or master’s degree program in applied mathematics, biology, chemistry, computer science, electrical engineering, materials science, physics, or related fields at a U.S.-based institution. We embrace diversity along all dimensions, and encourage applications from those who self-identify with historically underrepresented groups in STEM.