Massachusetts Institute of Technology, Summer Geometry Initiative

Program ID: MIT-SGI [#1572]
Program Title: Summer Geometry Initiative
Program Type: Undergraduate program
Program Location: Cambridge, Massachusetts 02139, United States [map] sort by distance
Subject Areas: Geometry, computer science, numerical methods, machine learning
Starting Date: 2024/07/08
Stipend: $4000
Application Deadline: 2024/02/15 11:59PMhelp popup** (posted 2024/01/02)
Program Description:   URMs Remote  

*** the listing date or deadline for this program has passed and new applications are no longer accepted. ***

The Summer Geometry Initiative (SGI) is a six-week paid summer research program introducing undergraduate and graduate students to the field of geometry processing. Geometry processing has a long history of breakthrough developments that have guided design of 3D tools for computer vision, additive manufacturing, scientific computing, and other disciplines. Algorithms for geometry processing combine ideas from disciplines including differential geometry, topology, physical simulation, statistics, and optimization.

In the first week of SGI, participants will attend hands-on tutorials introducing the theory and practice of geometry processing; no background or previous experience is necessary. During the remaining weeks, participants will work in teams on research projects led by faculty and research scientists in this discipline, while attending talks and other sessions led by visiting researchers.

Undergraduates and master's level students with background in computer science, mathematics, or other related disciplines are encouraged to apply. We will release a separate call for mentors and staff participants. SGI will be held remotely (online) in 2024, but participants are expected to be engaged full-time.

Applicants are requested to submit the following materials:

  • A cover letter specifically addressing their interest in SGI and any relevant background; applicants can also include links to relevant work they have done in the past (e.g., class projects or personal web pages).
  • A resume or CV
  • Optional: One reference letter from a mentor, instructor, or collaborator
  • Optional: Additional materials in .pdf format (e.g., an unofficial grade transcript)
SGI is invested in finding and nurturing talented students from all paths, and we understand that not all academic journeys follow a straight line. In your cover letter, we encourage you to share how your work, values, and/or lived experiences contributed to your academic path.

SGI is dedicated to the inclusion of individuals of all backgrounds at all levels of geometry processing research. We strongly encourage women and students from underrepresented and underserved groups to apply, including students who come from low socioeconomic means or were the first in their family to attend college. No prior research experience or coursework in geometry processing is necessary to participate in SGI; students who have excelled in the math, science, and/or computing programs available to them are strongly encouraged to apply. All applicants will be considered equitably regardless of race, ethnicity, or gender. Current PhD students and professionals are not qualified to apply.

US law prevents MIT and SGI from engaging with persons ordinarily resident in certain comprehensively sanctioned countries and with parties blocked by the US Treasury Department. Pending tax considerations associated to the honoraria, all other international students qualify for participation and are invited to apply.

Please check the SGI website for additional details:

Note: The program is restricted to current undergraduate and master's students (either at the time of submitting the application or to start fall 2024 at the latest). Please refrain from emailing the organizers asking for an exception to this rule.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the program description.

Further Info:
email address
32 Vassar Street, room 32-D460
Cambridge, MA 02139