Postdoctoral Position Inquiry in Machine Learning for Circuit Design and EDA

A PhD candidate in New York is inquiring about a postdoctoral position in machine learning for circuit design and EDA. The candidate has developed a heterogeneous graph framework for ML applications and has published 3 journal papers and 9 conference papers in the field.

A PhD candidate at the University at Albany SUNY, New York is inquiring about available postdoctoral positions in the field of machine learning (ML) for circuit design and EDA. The candidate has developed a heterogeneous graph framework for ML applications, specifically for physical systems such as electric circuits, thermal, and mechanical systems. The research has resulted in 3 journal publications and 9 conference papers, with more under development. The candidate is interested in reaching out for potential collaboration and open positions.

Tags: postdoctoral position, machine learning, circuit design, EDA, physical systems, heterogeneous graph framework, University at Albany SUNY, New York