PhD in Foundation Models for Physiological and Multimodal Time-Series Analysis University at Buffalo in United States

PhD opening for Fall 2026 at the University at Buffalo in the Human-in-the-Loop Systems Lab. The project focuses on foundation models for physiological and multimodal time-series analysis, in collaboration with IBM and researchers at the University at Buffalo.

This opportunity sits at the intersection of artificial intelligence, physiological computing, advanced signal processing, machine learning, deep learning, time-frequency analysis, and Graph Neural Networks. It is a strong fit for applicants interested in data-driven modeling of physiological signals and multimodal temporal data.

Eligibility highlights: applicants should already hold a Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Strong programming skills are expected, and experience with Python, PyTorch, deep learning frameworks, time-series machine learning, and signal analysis is especially relevant.

The post does not mention a stipend, tuition waiver, or other funding package, but it indicates a PhD position tied to a collaborative research project with IBM.

How to apply: email your CV and transcripts to [email protected]. The post asks interested applicants to share their background and relevant technical experience. Deadline is for Fall 2026, normalized here as 2026-08-01.