The Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), is an interdisciplinary research institution of Fudan University. It was launched in March 2015. Fudan University, Shanghai, is one of the leading universities in China. The predecessor of ISTBI was the Center for Computational Systems Biology, founded in 2008 and was one of the first international and interdisciplinary research centres in Fudan University.

ISTBI covers several research fields including applied mathematics, statistics, computer science, informatics and neuroscience. The research carried out in ISTBI is interdisciplinary per se, with computational neuroscience playing a pivotal role. ISTBI aims to make significant contributions in the development of basic theories, core algorithms and key frameworks for artificial intelligence. It also has the aims of developing intelligent diagnosis systems for brain diseases, and establishing principles of cognitive neuroscience. Ultimately, ISTBI will contribute to the innovation and the development of an intelligence-oriented society.

Research Centres

• Centre for Big Data of Biomedical Sciences
• Centre for Computational Systems Biology
• Centre for Biomedical Imaging
• Centre for Neural and Intelligent Engineering
• Centre for Brain-Inspired Chip Systems
• Centre for Cognitive Neuroscience
• Centre for Research Translation and Collaboration

Research Platforms

• Key Laboratry of Sceience and Technology for Brain and Brain-Inspired Intelligence, Ministry of Education, China
• Overseas Expertise Introduction Center for Discipline Innovation on Computational Neuroscience and Brain-inspired Intelligence, Ministry of Education, China
• Zhangjiang International Brain Imaging Centre, Fudan University, Shanghai, China
• Zhangjiang Centre for Brain and Brain-inspired Intelligence Research and Innovation, Fudan University, Shanghai, China

We are recruiting scientists at levels of Professor, Associate Professor, Assistant Professor and Postdocs with background in computing, mathematics, neuroscience, biomedical engineering, and electronic and information engineering.

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