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Ehsan Tarkesh Esfahani

5 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 flag

Country

United States

University

University at Buffalo

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Mechanical Engineering
Electrical Engineering
Deep Learning
Artificial Intelligence
Python Programming
Time-frequency Analysis
Multimodal Analysis
Statistics

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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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Prepare your application

Review drafts and confirm requirements with the university.

Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Statistics

Artificial Intelligence

Biomedical Engineering

Deep Learning

Electrical Engineering