Postdoctoral recruitment notice of the Advanced Innovation Center for Future Education of Beijing Normal University

As one of the first batch of advanced centers supported by the Beijing Municipal Government, the Advanced Innovation Center for Future Education of Beijing Normal University (hereinafter referred to as the "Center") is a high-level international innovation platform guided by major educational practice problems and centered on educational science and technology innovation.

The core mission of the center is to promote the deep integration of artificial intelligence + education from the major national education practice issues, study the cognitive science laws of the intelligent era, research and develop intelligent education technologies and products, promote the transformation and transformation of talent training models, innovate intelligent education public services, incubate a new education ecology for the future, create an educational highland, build a demonstration benchmark for smart education, and promote the comprehensive and individual development of students.

Now we are openly recruiting several postdoctoral researchers inside and outside the university

.一. Research direction

(一) Research on artificial intelligence and its application in education Recruitment: 2-3 people

From the two-way perspective of education and technology, we will build an artificial intelligence education application system, explore the differentiation and integration of technology-enabled internal and external service chains of educational institutions, promote the human-machine combination between different educational subjects, and form a new educational service organization form of online and offline integration and cross-border integration inside and outside the school with the support of intelligent environment.

Research Interests:

1. Research on the application of generative AI in teaching, evaluation, teaching and research and other educational scenarios;

2. Research on the construction of educational models and their key technologies;

3. Research on intelligent guidance system and learner modeling.

(二) Research on intelligent evaluation of teachers' teaching ability and teaching precision assistive technology Recruitment: 1 person

Focus on the research of the paradigm and supporting technology of "teaching embedding of machine intelligence". On the basis of the understanding of the network joint school scenario and the evaluation of teachers' multi-dimensional teaching ability, the machine intelligence that can be directly embedded in the actual teaching process is provided from the aspects of lesson preparation and resources, and the human-machine collaboration method is used to accurately assist teachers, so as to comprehensively improve the teaching competency of teachers. The core of the project focuses on two core scientific issues: "Representation Model of Teaching Ability and Its Explanatory Mechanism" and "Teaching Embedding Methods and Mechanism of Machine Intelligence".

Research Interests:

1. Research on surveying, mapping and monitoring of online joint school teaching scenes;

2. Research on the evaluation of teachers' teaching ability integrating behavior perception and understanding;

3. Research on intelligent aggregation and precise guidance of cross-media teaching resources;

4. Research on the automatic generation of explainable teaching schemes for intelligent collaboration;

5. Demonstration application of intelligent teaching innovation in the environment of network joint school.

(三) Research on key technologies of education model and intelligent teaching Q&A Recruitment: 1 person

With the help of the powerful natural language understanding and generation capabilities of cutting-edge AI large models, a human-machine collaborative answer generation model is constructed. Based on the pre-trained large model, students conduct multiple rounds of real-time dialogue, imitate the Socratic teaching style, guide learners step by step to recall the knowledge they have learned in the form of questions, and provide ideas for solving problems. Form a new model of personalized intelligent tutoring to improve the intelligence of online Q&A counseling and the performance of human-computer interaction.

Research Interests:

1. Research on the application of key technologies for pre-training and fine-tuning of educational large models;

2.AI teaching assistant research, so that the education model can provide personalized answers and questions for students to ask questions;

3. Research on the application mode of personalized intelligent tutoring, and refine the teaching expertise of tutors through the education model, so as to form a new model of personalized intelligent tutoring service.

(四) Research on key technologies and teaching applications of AI-enhanced language learning Recruitment: 1 person

Based on the perspectives of linguistics and applied linguistics, educational technology, language teaching and other disciplines, explore the establishment of key technologies such as K12 language corpus database, language cognitive map, developmental ability diagnosis, learner modeling, etc., promote human-computer collaboration between different educational subjects, form a new service form of language education and teaching supported by intelligent environment, and study the realization path of personalized development of K12 students' language literacy.

Research Interests:

1. Research on the construction of Chinese education model and its key technologies.

2. Research on the modeling of intelligent language learning system and learners' language literacy.

3. Research on K12 language precision teaching based on human-computer collaboration.

二. Postdoctoral recruitment categories

1. Liyun Postdoctoral Fellow: A high-end postdoctoral program focused on the Beijing Campus of our university, recruiting outstanding doctoral graduates with good ideological character and top-notch scientific research and innovation capabilities. Funding is funded by the school.

2. Category A postdoctoral fellows: those who meet the evaluation requirements of the inbound selection indicators of each employer and promise to meet the outbound assessment requirements of each employer. The salary and welfare expenses of Class A postdoctoral fellows during their stay in the station shall be jointly borne by the university and the employer. Among them, the employer's self-raised part of the expenses shall be borne by the employer and the co-tutor through negotiation.

三．the basic requirements of the position

1. Obtain a doctorate degree from a well-known university or scientific research institution at home and abroad. Among them, Li Yun postdoctoral fellows refer to the relevant requirements of postdoctoral fellows in national projects such as the "Postdoctoral Innovative Talent Support Program" of the National Postdoctoral Management Committee.

2. Have a firm political stance, be physically and mentally healthy, under the age of 35, have obtained a doctorate degree for no more than three years, and must work full-time at Beijing Normal University after entering the university.

四． remuneration

1. The annual salary of Li Yun postdoctoral fellows is 300,000 yuan (before tax). The university provides a rental subsidy of 50,000 yuan/year for Liyun postdoctoral fellows, and can rent postdoctoral apartments according to the availability of housing. During the normal period of station, they can apply for enrollment (kindergarten) for their eligible chilPostdocen. In addition, the cooperative supervisor of the center will give some subsidies according to the scientific research progress and actual work of the postdoctoral fellows, so as to better support the postdoctoral fellows to carry out related research work.

2. The salary standard of Class A postdoctoral fellows is an annual salary of 180,000 yuan (before tax), and the cooperative supervisors of the center will also consider the performance of postdoctoral fellows in all aspects and give them appropriate subsidies to help the smooth development of scientific research and life during the postdoctoral period.

五．How to apply

Open recruitment at home and abroad, through individual application, qualification review, interview (Liyun postdoctoral fellows also need to go through the school review), physical examination, school personnel department approval and publicity, etc., the list of hires will be determined on the basis of merit.

Applicants should send the following materials to the designated mailbox: gjjzhaopin@bnu.edu.cn (the subject of the email should be marked as "postdoctoral application + name + graduation school")

1. Resume, including educational experience, work experience, etc.;

2. Three representative academic papers in the past five years;

3. Other relevant materials. According to the results of the material review, the candidate will be interviewed (video interview can be used in special circumstances). Those who pass the interview, prepare relevant materials, and those who pass the review of the school and the Bo Management Committee will go through the entry procedures. For details of the entry procedure, please refer to the postdoctoral column (http://hr.bnu.edu.cn/bsh/index.htm) on the website of the Personnel Office of Beijing Normal University.