professor profile picture

Weihan Li

Junior Professor in AI and Digitalization for Batteries

RWTH Aachen University

Country flag

Germany

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Automotive Engineering

10%

Electrical Engineering

10%

Machine Learning

10%

Materials Science

10%

Computer Science

10%

Batteries

10%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions1

Publisher
source

Weihan Li

University Name
.

RWTH Aachen University

PhD Opportunity in AI-Based Diagnostics for High-Voltage Battery Systems

PhD opportunity in AI-based diagnostics for high-voltage battery systems at Opel , in collaboration with the research group of Weihan Li at RWTH Aachen University (CARL). This opening is a strong fit for candidates interested in artificial intelligence , battery systems , digitalization , and applied research for electrified mobility. The post is announced by Weihan Li , Junior Professor in AI and Digitalization for Batteries at RWTH Aachen University. The research topic suggests work at the intersection of electrical engineering , computer science , and battery diagnostics, likely involving data-driven methods for monitoring, fault detection, or condition assessment in high-voltage battery systems. No formal eligibility criteria, funding package, or deadline are stated in the post. The announcement simply invites interested candidates to apply. Because the post does not include a dedicated application portal or email address, applicants should use the LinkedIn post link and follow any further instructions from the announcer or the collaborating group. Keywords: AI-based diagnostics, high-voltage battery systems, batteries, digitalization, machine learning, automotive engineering.