Opportunity

Join ILI²C

ILI²C welcomes talented, ambitious, and self-motivated students and researchers who are passionate about advancing the frontiers of intelligent computing. Our research spans Artificial Intelligence, Memristive Computing, Language Intelligence, and Digital Health, with a strong emphasis on interdisciplinary collaboration, scientific innovation, and real-world impact.

At ILI²C, researchers have the opportunity to work on cutting-edge topics including foundation models, computer vision, multimodal learning, low-resource natural language processing, neuromorphic computing, in-memory AI, intelligent hardware, biomedical imaging, medical AI, and trustworthy intelligent systems. We encourage creative thinking, independent research, and close collaboration with faculty members and international research partners.

We are continuously recruiting outstanding:

• Ph.D. Students

• Master's Students

• Undergraduate Researchers

• Visiting Students

• Visiting Scholars

• Postdoctoral Researchers (subject to funding availability)

Applicants with backgrounds in Computer Science, Artificial Intelligence, Electronic Engineering, Electrical Engineering, Machine Learning, Computer Vision, Natural Language Processing, Signal Processing, Biomedical Engineering, Applied Mathematics, Data Science, or related disciplines are especially encouraged to apply. Previous research experience, publications, programming skills, or hardware design experience are advantageous but not required.

At ILI²C, members are encouraged to pursue high-impact research, publish in leading international conferences and journals, collaborate with world-class researchers, and contribute to open-source projects and real-world applications. Our goal is to cultivate independent researchers capable of advancing next-generation intelligent computing and addressing important scientific and societal challenges.

If you are excited about conducting innovative research in an open, collaborative, and international environment, we would be delighted to hear from you.

To apply, please send the following materials to Prof. Yongbin Yu:

• Curriculum Vitae (CV)

• Academic Transcripts

• A Brief Statement of Research Interests

• (Optional) Representative Publications or Project Portfolio

Applications are reviewed on a rolling basis. Highly qualified candidates may also be considered for research assistantships, scholarships, or other funding opportunities, subject to availability.