CSE - LLM based Multi-Agent Simulation and Interface Development.

The Research In Networks and Groups (RINGZ) Lab is seeking undergraduate students with a strong background in JavaScript React, LLMs (e.g., OpenAI GPT, Meta Llama), and Python to contribute to a DARPA-funded project focused on LLM-based multi-agent simulation. This project involves developing a user interface to support interactive simulations, built to integrate with a Python-based multi-agent framework. 

Name of research group, project, or lab
The RINGZ Lab
Logistics Information:
Project categories
Computer Science & Engineering
Student ranks applicable
Sophomore
Junior
Senior
Student qualifications
  • Experience with JavaScript and React.
  • Experience with Python.
  • Familiarity with LLMs.
  • Familiarity with Github for version control.  
Hours per week
1 credit / 3-6 hours
2 credits / 6-12 hours
3 credits / 12+ hours
Compensation
Research for Credit
Number of openings
2
This project will use an Expectations and Structure agreement.
Expectations and Structure

The applicant will work with a Ph.D. student from our research group, who will serve as a mentor. We expect that the applicant will work at least 10 hours per week. The applicant should meet with their mentor on a weekly basis. A final presentation to the group is required. If successful, we will work on a conference/journal submission based on the applicant's work. 

Contact Information:
Mentor
Diego Gomez-Zara
dgomezza@nd.edu
Assistant Professor
Name of project director or principal investigator
Diego Gomez-Zara
Email address of project director or principal investigator
dgomezara@nd.edu
2 sp. | 0 appl.
Hours per week
1 credit / 3-6 hours (+2)
1 credit / 3-6 hours2 credits / 6-12 hours3 credits / 12+ hours
Project categories
Computer Science & Engineering