NSF IRES: Physical AI Design

Summer Research Intern Opportunities at The University of Tokyo and JAIST

Principal Investigator: Prof. Bo Zhu at Dartmouth College

Collaborator: Prof. Takeo Igarashi at The University of Tokyo, Prof. Haoran Xie at JAIST

Sponsor: NSF International Research Experiences for Students (IRES) Program, NSF Office of International Science and Engineering (OISE)

What do we do?

Project Overview

This Physical AI Design NSF International Research Experiences for Students (IRES) project aims to send U.S. students to conduct summer research internships on devising physics simulation algorithms, user interfaces, and AI algortihms at The University of Tokyo and Japan Advanced Institute of Science and Technology (JAIST). The project is funded by NSF Office of International Science and Engineering and led by Prof. Bo Zhu at Dartmouth College, in collaboration with Prof. Takeo Igarashi at The University of Tokyo and Prof. Haoran Xie at JAIST.

The research team focuses on developing fast simulation and ML algorithms, interactive design user interfaces, computer graphics applications, and integrated open-source codebase to create novel embodied AI algorithms for complex physical systems. We are particularly interested in devising novel AI algorithms and user interfaces to facilitate simulation, design, and optimization of various physical systems, including soft and rigid bodies, shell and cloth, fluid, and multi-physics coupling systems. We are also interested in developing AI-based interactive systems to facilitate novel interaction and control between the human users and physical objects. At the same time, the IRES intern students will work together with students at Dartmouth, The University of Tokyo, and JAIST to devise an open-source platform to create accessible interactive physical AI designs.

Advisor Team

Each IRES intern student will be advised jointly by Prof. Bo Zhu at Dartmouth College, Prof. Takeo Igarashi at the University of Tokyo, and Prof. Haoran Xie at Japan Advanced Institute of Science and Technology (JAIST). The three advisors have broad research expertise in computer graphics, physics-based simulation, human-computer interaction, user-design interface, and machine learning.
What ideas will I work on?

Focused Research Areas

The focused research areas of this IRES project include computer graphics, human-computer interaction, and machine learning. We also encourage applicants with relevant research experiences from other neighboring areas (e.g., scientific computing, robotics, VR/AR, etc.).
Dates and Deadlines

Important Timeline

Application Deadline

March 31, 2023

Notification Deadline

April 15, 2023

Internship Period

June - August, 2023
Three months, with flexible starting and ending dates


Apply Now

Internship Description

Once you are selected by the IRES program committee, you will be expected to carry out a three-month summer internship at the University of Tokyo and JAIST. During the internship, you will lead a research project under the supervision of the three program advisors and in collaboration with the researchers in their teams. A detailed description of the internship position is specified as below.

  • Position: full-time summer internship for three months;
  • Location: The University of Tokyo / Japan Advanced Institute of Science and Technology;
  • Salary: A competitive salary will be offered based on the regulation of the NSF IRES Program;
  • Responsibilities: Each IRES student will lead one research project co-advised by the three advisors. The student is expected to develop the mathematical model, build the code framework, conduct tests and evaluations with other teammates, and finish the technical paper/report writing.
  • Training: During the internship, each IRES student will receive training in their coding, math, or engineering skills during their pre-departure training (remotely, one month before the internship) and their onsite internship (three months in Japan).

Application Qualifications

We expect the applicant to demonstrate the following abilities in their applications:

  • Research: Demonstrated capabilities in conducting cutting-edge research at the intersection of computer graphics, computational design, physics-based simulation, and machine learning;
  • Programming: Solid programming skills in graphics/scientific computing/HCI/ML; Experience in building open-source codebase and/or interactive user interfaces;
  • Academic: The program prefers the applicant to be enrolled in a MS or Ph.D. program in computer science, mathematics, or other related areas. We also encourage strong undergraduate applicants with competitive research and/or development skills to apply;
  • Residency: As per the program's requirement, the applicant must be a U.S. citizen or permanent resident.

How to Apply

To apply for a IRES internship position in 2023 summer, please submit the following documents to physical.ai.design.ires@groups.dartmouth.edu:

  • CV (up to 2 pages, with your previous research/work experience and publication list (if any));
  • Research statement / proposal (up to 2 pages, describing your previous research experience in relevant areas and/or the project you plan to work on in your IRES summer internship).

Application Review Process

We will review applications and make decisions on a rolling basis. The deadline for all applications will be March 31, 2023. If you have any further questions, please send your queries to physical.ai.design.ires@groups.dartmouth.edu.