Responsible AI

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Volunteer Basis, Potential for UROP Funding

Overview

We are looking for undergraduate research assistants to support an ongoing research project at the intersection of responsible AI, large language models, and decision-making under uncertainty.

The project studies how AI systems make errors, how information quality affects those errors, and how uncertain AI outputs affect and are optimally used in downstream decisions. The focus is research-oriented rather than product- or app-development.

What you might work on:
– Running and analyzing experiments with AI/LLM outputs
– Analyzing errors, uncertainty, and model behavior
– Supporting data processing, evaluation, and basic modeling tasks
– Assisting with research code and experimental pipelines
Exact tasks will depend on background and interests.

What you’ll gain:
– Exposure to academic research in AI and decision-making
– Experience working with experimental ML/LLM pipelines
– Close interaction with a faculty-led research project
– Preparation for research-oriented careers or graduate study

Preferred background:
Students from Computer Science, Data Science, Electrical/Systems Engineering, Business, or related fields are encouraged to apply. The ideal candidate will have:
– Strong proficiency and experience with ML libraries (e.g., hugging face, scikit-learn) in Python.
– Work comfortably with GitHub, including pull requests, push requests, branch management, and code reviews.
– Analyze and evaluate model performance using metrics (e.g., F1, accuracy, precision/recall).
– Ability to work independently and reliably meet deadlines.
– Strong writing and communication skills

Time commitment:
20 (minimum) – 40 hours per week
At least one semester, with the possibility to continue

How to express interest:
Please email Vassilis Digalakis with the subject line “UROP Application – [Your Name]”:
1. A brief cover letter / note about your interest in the project and availability.
2. Your résumé.

Find out more about Vassilis: https://vvdigalakis.github.io/

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