PhD Student Position – AI for Semiconductor Inspection | Dr. Asadi 's group, University of Florida

Dr. Asadi 's group at the University of Florida is seeking a motivated PhD student to join our team working at the intersection of Artificial Intelligence and semiconductor device inspection.

Our research focuses on developing AI-driven solutions for physical inspection, failure analysis, and reliability assessment of semiconductor devices and advanced packaging technologies. We apply modern Machine Learning, Deep Learning, and Generative AI techniques to analyze multimodal inspection data and enable intelligent decision-making in semiconductor manufacturing.

Research Areas:

• Machine Learning and Deep Learning for semiconductor inspection

• Vision-Language Models (VLMs) for multimodal inspection data analysis

• Large Language Models (LLMs) for engineering reasoning and knowledge systems

• Retrieval-Augmented Generation (RAG) for technical knowledge integration

• Generative AI for inspection and analysis workflows

• AI-driven analysis of X-ray CT, microscopy, and optical inspection data

• AI applications for advanced semiconductor packaging and heterogeneous integration

Responsibilities:

• Conduct research in AI/ML methods for semiconductor inspection and reliability analysis

• Develop and train deep learning models for multimodal imaging data

• Work with inspection modalities such as X-ray CT, acoustic microscopy, and optical imaging

• Contribute to research publications and collaborative research projects

Desired Background:

• Background in Computer Science, Electrical Engineering, or related fields

• Experience with Machine Learning / Deep Learning

• Familiarity with Python, PyTorch.

• Interest in applying AI to real-world semiconductor engineering problems

 

Students will work in a highly interdisciplinary research environment, contributing to cutting-edge research at the intersection of AI, semiconductor inspection, and advanced packaging technologies.

Interested candidates should send their CV to this email address (nasadi@ufl.edu)