About Us
Postdoctoral fellow, we are waiting for you!
An Invitation from the National Engineering Research Center of Cyberlearning and Intelligent Technology of Beijing Normal University
Introduction
Beijing Normal University (BNU) is a comprehensive and research-intensive university with its main characteristics of basic disciplines in sciences and humanities, teacher education and educational science. It grew out of the Education Department of Imperial University of Peking established in 1902. BNU is among the first batch of China’s “Project 211” and “Project 985” aimed at building high-level universities and is included in the Category-A list of the country’s initiatives to build world-class universities. BNU has been ranked 7th in the 2025 QS World University Rankings by Subject. The university is highly active in educational technology innovation, with distinct technical features and a prominent position in the field of Internet education. It has leading technological achievements in the realm of smart education, along with research and development testing facilities and strong foundations for collaboration between industries, universities, and research institutes.
National Engineering Research Center of Cyberlearning and Intelligent Technology (CIT) was organized by Beijing Normal University and jointly constructed by Tsinghua University, China Mobile Communications Corporation (CMCC), Elernity and iFLYTEK Co., Ltd. Aimed at issues such as uneven distribution of high-quality educational resources, inadequate capacity of individualized learning services and so on. CIT focuses on the sharing of high-quality educational resources and the urgent need of intelligent educational resources to construct a research platform for cyberlearning and intelligent technology. It will support Interactive System for Distance Education, Knowledge Modeling and Analysis, Learner Modeling and Learning Analytics, Design and Assessment of Learning Environment, Systematic Education Governance as well as other technological R&D and engineering.
Smart Learning Institute (SLI) is affiliated to Beijing Normal University and serves as an experimental platform comprising scientific research, technology development, and education. SLI focuses on researching learning patterns under ICT environments, designing smart learning environments, and building platforms that enable lifelong learning and support the various personalized and differentiated learning styles of digital learners.
The Education Informatization Strategy Research Base (Beijing), established with the support of Beijing Normal University, focuses on research in areas such as the development of smart education, applications of artificial intelligence in education, and international comparative studies of educational informatization.
The UNESCO Chair on Artificial Intelligence and Education aims to promote an integrated system of research, training, information and documentation on artificial intelligence in education. It will facilitate collaboration between high-level, internationally-recognized researchers and teaching staff of the University and other institutions in China, as well as elsewhere in Asia, Africa, Latin America, and other regions of the world.
China Smart Education Industry-University-Research Collaborative Innovation Platform is dedicated to constructing an integrated smart education ecosystem encompassing all domains, essential elements, implementation processes, and operational phases. Through forging an open, shared, and collaborative innovation environment, the platform drives systematic innovations in theoretical frameworks, application scenarios, technological advancements, and industrial models across the educational sector.
Lab of AI Governance and Planning in Education (AI-GPE Lab) is committed to transforming educational planning and governance by harnessing the power of AI technologies, regulating AI in educational governance, enhancing digital leadership, and thus, to advance crisis-sensitive, inclusive, efficient, transparent, data-driven, and resilient education systems.
We are seeking talented, motivated researchers to join our dynamic team and contribute to cutting-edge advancements in educational technology and innovation. For more details, please visit our website (http://cit.bnu.edu.cn/ ) or follow WeChat Official Account (CITlab).
I. Position Categories and Remuneration
Position Categories |
Remuneration |
National Project Postdoctoral Fellows This program is jointly funded by BNU and the National Postdoctoral Special Fund for postdoctoral fellows, consisting of nationally-designated postdoctoral initiatives, such as the National Postdoctoral Program for Innovative Talents, Postdoctoral International Exchange Program, Postdoctoral International Exchange Fellowship Program, Hong Kong Scholars Program, Macau Young Scholars Program, and China-Germany Postdoctoral Exchange Program.
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For those selected under the “International Exchange Program (Inbound)” by the National Postdoctoral Management Committee or the “Postdoctoral Innovative Talent Support Program”, the annual pre-tax salary is 350,000 CNY, accompanied by a housing subsidy of 50,000 CNY/year. Subject to availability, fellows may rent postdoctoral apartments at market rates. During their standard term, eligible children may enroll in Beijing Normal University Experimental Kindergarten (Shahe Campus) or the Primary School Division of BNU Changping Affiliated School (Shahe Campus). Postdoctoral researchers under other national programs receive financial support from national postdoctoral funds, with benefits determined by the respective program’s policies and regulations.
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Liyun Postdoctoral Fellows A flagship program established by BNU, adheres to the stringent eligibility criteria of national programs such as the “International Exchange Program (Inbound)” by the National Postdoctoral Management Committee and the “Postdoctoral Innovative Talent Support Plan”. Candidates must exhibit a robust portfolio of research accomplishments and demonstrate strong potential for scientific innovation. |
The fellowship provides an annual pre-tax salary of 300,000 CNY, supplemented by a housing subsidy of 50,000 CNY per year. Subject to availability, fellows may rent postdoctoral apartments at market rates. Additionally, during their standard term, eligible children of fellows may enroll in Beijing Normal University’s Experimental Kindergarten (Shahe Campus) or the Primary School Division of BNU Changping Affiliated School (Shahe Campus). |
Category A Postdoctoral Fellows Hold a doctoral degree obtained within the past three years from a top-tier university (domestic or international). Demonstrate excellent moral character and academic excellence, be in good health, and be under the age of 35. Commit to full-time work during the postdoctoral appointment. Show significant research achievements in the relevant field over the past five years. |
Category A Postdoctoral Fellows receive an annual salary of 180,000 to 240,000 CNY (pre-tax). Eligibility for benefits including overseas academic exchange programs and research performance incentives. Outstanding candidates may receive salaries commensurate with the Liyun Postdoctoral Fellowship standards. |
Category B Postdoctoral Fellows Hold a doctoral degree, be under the age of 35, and demonstrate strong moral integrity and promising research potential. |
Category B Postdoctoral Fellows receive an annual salary of 180,000 CNY (pre-tax) and are eligible for benefits such as overseas academic exchange programs and research performance incentives. Outstanding candidates may receive remuneration aligned with Category A Postdoctoral standards. |
II. Research Programs
National Key R&D Programs: “Large-Scale Cross-Stage Longitudinal Study on Student Development” “Key Technologies and Application Demonstrations for Smart Connected Learning Environments” “Behavioral Perception and Risk Detection Technologies in Internet-Based Education Applications” “Intelligent Assessment and Precision Teaching Assistance Technologies for Rural Teachers” “Key Technologies for Cultivating and Evaluating Children’s Innovation Capabilities” etc.
Other Research Programs: Research on the “Internet +” Education System, Artificial Intelligence and the Future of Education Development Research, Research on Smart Education Strategies for the 2030 Agenda, International Comparative Study and Cooperation Mechanisms in Digital Education, Experimental Research on AI-Driven Educational Governance, Research on Smart Education Demonstration Zone Development, Research on Digital Education in Ethnic Minority Regions, Research on Digital Transformation in Vocational Education, AI-Powered Courseware Factory Research, Educational Robotics Research, Research on Virtual Reality Applications in Education, Research on Digital Textbooks and Knowledge Graph Technologies, Digital Literacy and Digital Education Leadership Research, Future Learning and Future Lab Research, Educational Large Language Model Research, etc.
III. Research Fields and Supervisors
Research Fields |
Supervisor |
Interactive System for Distance Education Research on interactive theory and modeling, naturalism interactive model, multi-modal data fusion and multi-network fusion/multi-point interactive remote real-time high-speed transmission technology. |
Professor Yu Shengquan, Professor Ma Ning, Associate Professor Li Baoping, Associate Professor Lu Yu, Adjunct Researcher Liu Geng, etc. |
Knowledge Modeling and Analysis Research on discipline knowledge technique, knowledge analysis key technique, and knowledge service key technique. Develop the series of standards, models and tools related to discipline knowledge and resources, as well as service platforms. |
Professor Li Yanyan, Researcher Xu Bin, Associate Professor Zhou Ying, Associate Professor Zheng Lanqin, Associate Professor Zhao Guoqing, etc. |
Learner Modeling and Learning Analytics Intelligent technology based on educational data acquisition, learner modeling, and learning analysis. Construct an Internet-age learner model, and develop a monitoring demonstration system for students’ development and monitoring and learning analysis system in the process of teaching. |
Professor Chen Li, Professor Zheng Qinhua, Professor Feng Xiaoying, Professor Zhang Jingjing, Professor Li Shuang, Adjunct Researcher Wu Xiaoru, etc. |
Design and Assessment of Learning Environment Enhancement technology of learning space, optimal design technology, assessment and evaluation technology, constructing typical learning space, and designing and evaluating multi-field intelligent learning environment. |
Professor Huang Ronghuai, Adjunct Professor Liu Dejian, Professor Asha Singh Kanwar, Associate Researcher Ahmed Tlili, Senior Engineer Zhu Lixin, Associate Professor Zhang Jinbao, Associate Professor Chen Guang, etc. |
Systematic Education Governance Research focuses on AI-driven content moderation frameworks and algorithmic monitoring technologies for digital educational products, optimizing human-AI collaborative classroom efficiency quality control and scalability pathways alongside 5G-AI-integrated intelligent upgrades for campus networks. Current projects are funded by National Key R&D Programs, National Natural Science Foundation grants, and Foreign Expert Initiatives, supported by mature domestic and international talent development partnerships. |
Professor Chen Guangju, Professor Tong Lili, Associate Professor Zhuang Rongxia, Adjunct Professor Yang Junfeng, Associate Professor Zhou Xiuping, Associate Professor He Shuai, Associate Professor Li Renliang, etc. |
Integration of Science and Technology and Education Research and develop adaptive technologies for designing digital resources tailored to diverse learners and learning scenarios, and establish a digital resource design and development center, a demonstration hub, an applied practice base, and a service platform. |
Professor Wu Fati, Professor Dong Yan, Professor Li Yushun, Professor Fu Qian, Associate Professor Wu Juan, Associate Professor Zhang Zhizhen, Associate Professor Cai Su, etc. |
IV. Application Procedures
We welcome qualified candidates worldwide. The application and selection procedures are as follows:
01 Personal Application
02 Qualification Review
03 Interview (Liyun Postdoctoral candidates will also undergo a university evaluation)
04 Physical Examination
05 Final Review & Public Announcement by the Human Resources Office
Required Application Materials
Applicants shall send the following documents to cithr@bnu.edu.cn with the email subject: “Application for CIT Postdoc – [Your Name] – [Your Institution]”.
Curriculum Vitae (CV), including educational background, work experience, etc.;
Three representative academic papers published within the last five years;
Supporting materials, e.g., certificates, awards, patents, published books.
V. Contact Us
Qualified candidates will be invited for interviews based on document review results (video interviews may be arranged if necessary). Those who pass the preliminary screening will be requested to submit application materials and proceed to further interviews.
For more details, please refer to the Postdoctoral Recruitment section on the BNU Human Resources website: http://hr.bnu.edu.cn/bsh/index.htm.
Email: cithr@bnu.edu.cn
Phone: +86-10-58807205 / 58806553
Website: http://cit.bnu.edu.cn/
WeChat Official Account: CITlab
Address: Changping Campus, Beijing Normal University, Jia No. 2 Manjing Road, Changping District, Beijing, China
We warmly welcome your application and look forward to the possibility of working together!
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