Fully Funded PhD in Computer Science: Efficient ML, Neuromorphic AI, Robotics, and Healthcare AI (Fall 2026, US) University of Colorado Denver in United States

The University of Colorado Denver is offering a fully funded PhD program in Computer Science, starting in Fall 2026 in the United States. The research areas include efficient machine learning and brain-inspired neuromorphic AI, such as spiking neural networks and ANN–SNN hybrids, as well as event-based vision. Additional focus areas are embodied and multimodal AI for agents and robotics, with a particular emphasis on computer vision, and AI for healthcare applications, including imaging, surgical video analysis, time-series data, and electronic health records (EHR) or text data.

Ideal candidates should have a strong background in Computer Science, Electrical and Computer Engineering, or related fields. Proficiency in deep learning, especially with PyTorch, and experience with robotics or embedded systems are highly desirable. The position is particularly suited for those enthusiastic about building a new research lab from the ground up and contributing to cutting-edge research in artificial intelligence, robotics, and healthcare technologies.

The PhD position is fully funded, though specific details regarding stipend amount or tuition coverage are not provided in the announcement. The application process and further details about research directions and expectations can be found at the provided link. Interested applicants are encouraged to contact [email protected] for more information. The priority deadline for applications is January 15th, 2026.

Key research keywords include Computer Science, Artificial Intelligence, Machine Learning, Neuromorphic Computing, Spiking Neural Networks, Robotics, Computer Vision, Healthcare AI, Deep Learning, and Embedded Systems. This opportunity is ideal for students interested in interdisciplinary research at the intersection of AI, neuroscience-inspired computing, and healthcare technology.