Research Opportunity Number: CS-01

Project Title: Exploratory Computer Vision Project

Project Summary: Computer vision is developing algorithms and software to better understand the world primarily through images and videos. In the first half, students will explore existing computer vision works in a specific task of their choice (e.g. classification, segmentation, image captioning) and develop an analysis of strengths and limitations of the current methods. 

In the second half, they can select one of the existing works and experiment with it to achieve better performance. The students will learn skills including reading academic papers, training machine learning models using Pytorch, running experiments, and writing code to analyze results. They may also attend relevant faculty lectures at Princeton AI4ALL (http://ai4all.princeton.edu). The internship will be adapted to the students’ unique skill sets and interests. Students from groups historically underrepresented in computer science are especially encouraged to apply.

Student Roles and Responsibilities: Students will be provided with access to the CS department's compute cluster and work on an independent research project under supervision of graduate student(s) and a faculty advisor. 

They will learn to use libraries like Pytorch in computer vision research and encouraged to ask lots of questions. Students will present findings of the project at the end of the internship to the lab group.

Additional Considerations: This project will involve Linux environments, using Python and utilizing the compute cluster. 

Department/Institute: Computer Science

Participation Dates: June 9 – August 15, 2025

Stipend Offered: $0

Number of Internships Available: 0-4

Application Deadline: March 15, 2025, midnight Eastern Daylight Time