Ehsan Tarkesh Esfahani
3 months ago
PhD Position in Foundation Models for Physiological and Multimodal Time-Series Analysis University at Buffalo in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The post does not specify stipend, tuition coverage, or other funding details. It describes a PhD opening for collaborative research with IBM and the University at Buffalo.
Deadline
Dec 28, 2026
Country
United States
University
University at Buffalo

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About this position
Open PhD position at the University at Buffalo in the Human-in-the-Loop Systems Lab, starting Fall 2026.
The project focuses on foundation models for physiological and multimodal time-series analysis, with an interdisciplinary emphasis on AI, physiological computing, and advanced signal processing. The work is described as a collaborative research project with IBM and the University at Buffalo.
Applicants should already have a Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Strong programming skills are required. Helpful background includes Python, PyTorch or other deep learning frameworks, time-frequency analysis, Graph Neural Networks (GNNs), and machine learning for time-series data.
Interested candidates should email their CV and transcripts to [email protected]. No funding, stipend, or tuition details are specified in the post.
Funding details
The post does not specify stipend, tuition coverage, or other funding details. It describes a PhD opening for collaborative research with IBM and the University at Buffalo.
What's required
Applicants should already hold a Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Strong programming skills are required. Familiarity with Python, PyTorch or other deep learning frameworks, time-frequency analysis, Graph Neural Networks, and machine learning for time-series data is preferred.
How to apply
Send your CV and transcripts to [email protected]. Review the LinkedIn post for context and follow up directly with the announcer if needed.
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