Student Research Assistant (2 Positions)

Medical device research · Posted October 20, 2026

Project Overview

We are seeking two motivated students to contribute to medical device research at the intersection of computational cardiovascular modeling and reinforcement learning. The project focuses on developing learning-enabled control strategies within cardiac digital twin models for adaptive decision-making in complex cardiovascular physiology.

Responsibilities

• Implement and evaluate reinforcement learning algorithms in Python
• Work with cardiac digital twin simulation environments
• Design and run computational experiments
• Analyze results and assist with technical documentation

Required Qualifications

• Current CU Boulder undergraduate or graduate student
• Strong programming skills (Python required)
• Background in machine learning, reinforcement learning, control, or numerical methods

Preferred Qualifications

• Experience with reinforcement learning (tabular or deep RL)
• Familiarity with scientific computing tools (NumPy, PyTorch, etc.)
• Interest in biomedical systems or cyber-physical systems

Application Instructions

Please email the following materials:

• CV
• Brief statement of interest (one paragraph)
• Relevant coursework and programming experience