[UG/MS] Volunteer Recruitment

The ICAROS lab is seeking motivated undergraduate and master’s students to join our research team. We have two open positions for the upcoming summer and fall semesters. This is a great opportunity to gain hands-on experience in cutting-edge AI research. To apply, please fill out this form: https://forms.gle/pPAD6NEVepjjj1A18
For more information on our lab, please visit our website: https://icaros.usc.edu

Note: In the “Additional Information” section of the application form, please indicate which role you are applying for. If you are interested in both, please list them in your order of preference.

Reinforcement Learning Researcher
We are looking for one student to contribute to a research project in Reinforcement Learning (RL) for the Summer and Fall semesters. This project is a great opportunity to build a strong, practical foundation in RL by implementing and experimenting with core algorithms to understand how they work from the ground up.
The ideal candidate will have a good grasp of the math behind machine learning (linear algebra, probability, optimization) and is comfortable with programming in Python. We are looking for curious and self-motivated students who are interested in the learning process itself. Prior experience with RL or deep learning frameworks like PyTorch and JAX is a plus, but not required.
Point of Contact: Saeed Hedayatian (saeedhed@usc.edu)

Research Engineer – Reinforcement Learning and Human-Robot Collaboration
We are seeking a motivated student to support the engineering aspects of an ongoing reinforcement learning (RL) research project. This project focuses on human-robot collaboration planning, specifically exploring how humans observe and interpret their surroundings during collaborative tasks, with the goal of enabling more human-aware robot planning.
The ideal candidate will have a strong foundation in reinforcement learning and machine learning, along with hands-on experience using PyTorch. Responsibilities will include implementing experiments, training models, conducting data analysis, and supporting data collection efforts.
This is an excellent opportunity for students interested in applying their technical skills to AI research in a collaborative lab environment.
Point of Contact: Sophie Hsu (yachuanh@usc.edu)