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Xinze Li

Closing soon

2 months ago

PhD and Postdoctoral Positions in AI for Power Electronics and Semiconductor Manufacturing at Florida State University Florida State University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 1, 2026

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Country

United States

University

Florida State University

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Keywords

Computer Science
Electrical Engineering
Materials Science
Deep Learning
Artificial Intelligence
Automation
Reinforcement Learning
Digital Twin Technology
Power Electronic
Machine learning

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About this position

Dr. Xinze Li is recruiting PhD students and postdoctoral researchers to join a new group at Florida State University (FAMU-FSU College of Engineering) starting in Fall 2026. The research vision is to build AI-native power electronics and next-generation intelligent energy technologies that can learn, adapt, explain, optimize, and eventually manage themselves.

The group’s research spans artificial intelligence, power electronics, semiconductor manufacturing, digital twins, reliability, automation, and intelligent energy systems. Specific themes include physical AI, explainable AI, and agentic AI for power electronics design, simulation, maintenance, and process optimization. The website also highlights AI for power semiconductor manufacturing, fabrication process optimization, and hardware-aware intelligent systems.

For the PhD opening, the site indicates a minimum GPA of 3.0/4.0 and notes that GRE is not required. The postdoctoral opening is aimed at candidates with a PhD in a related field such as power electronics, electrical engineering, control, computer science, or a closely related area, with experience in machine learning, data analytics, experimental validation, or power electronics preferred.

The positions are based at Florida State University in the United States. The post and website do not provide a specific stipend or salary amount in the extracted text, but they present the roles as research positions with application details on the personal website.

Interested applicants should review the position details on Dr. Xinze Li’s website and follow the application instructions there. A contact email is listed on the site for inquiries.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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