Zhang Dan's group in the Department of Psychology at Tsinghua University is recruiting postdocs in the field of affective computing or learning science

The group undertakes the surface project of National Natural Science Foundation of China, the sub-project of major project of National Social Science Foundation of China, the sub-task of National Key Research and Development Program, the Humanities and Social Science Foundation of Ministry of Education, etc.20More than a variety of scientific research projects, the results of the subject group inNeuroImage, ,Cerebral Cortex, ,Developmental Cognitive Neuroscience, ,NPJ Science of Learning, ,IEEE T-AC, ,IEEE T-BME, ,IEEE JBHI, ,IEEE T-NSREPublished papers in journals or conferences such as60More than one article, Google Scholar citation1800More than one time. The group has several sets of high-channel and portable EEG, NIR and other neurophysiological measurement equipment, and has the necessary technical conditions to carry out interbrain hyperscanning and neurological big data research.

• 1.D. in psychology, cognitive neuroscience, computer science, biomedical engineering, or related fields2Within one year;
• 2, near3Published as first author in internationally recognized academic journals in the field of affective computing or learning science since 20071Research papers and above;
• 3The following are some of the most important factors in the development of scientific research: a strong interest in scientific research, a love of scientific research, hard work and a strong sense of responsibility;
• 4The company has solid basic knowledge and rich experimental experience, strong hands-on ability, and the ability to carry out scientific research independently;
• 5, good communication, reading and writing skills in English;
• 6, as required35Under the age of 12, graduated no more than two years ago.

• Conducting research in one of the following directions:
• 1, Sentiment Computing
• Research work on emotional computing based on EEG, near-infrared brain imaging, wearable physiological measurements and other technologies for applications such as human-computer interaction and mental illness screening.
• 2, Learning Science
• Conducting real-life student classes based on EEG, eye movement, wearable physiological measurements and other technologies/Research work on online learning status measurement and analysis.