Teaching and research positions in the School of Intelligence, Peking University

1. Introduction to the Department

Peking University holds a historic role in the field of intelligence research. In 1985, the university, under the leadership of Mr. Cheng Minde and Academician Shi Qingyun, established the Information Science Center, combining efforts from over ten departments, including the Department of Mathematics, Computer Science, and the Radio Department. In 1988, Peking University established its first State Key Laboratory – the State Key Laboratory of Visual and Auditory Information Processing, marking a significant milestone in artificial intelligence research in China. The establishment of the Department of Intelligent Science in 2002 further cemented Peking University’s position as a leading force in the field.

In 2021, the Intelligent Academy was founded, followed by the recognition of Intelligent Science and Technology as a new first-level discipline by the Ministry of Education in 2022. The same year, Peking University and Beijing General Research Institute were approved to jointly create the National Key Laboratory of Cross-media General Artificial Intelligence. In 2023, the department also collaborated to establish an international joint laboratory for human-computer symbiosis, approved by the Ministry of Education.

The School of Intelligence, in partnership with the Institute of Artificial Intelligence and the Wang Xuan Institute of Computer Science, has significantly contributed to the development of intelligent science. The department's disciplines span a wide range of directions, such as computer vision, natural language processing, intelligent robotics, data intelligence, cross-media intelligence, and more. Under the guidance of Professor Zhu Songchun, a world-renowned expert in computer vision and artificial intelligence, the School of Intelligence has assembled a strong academic team. This includes 35 full-time staff members, among whom are 5 national talents, 5 young talents, and 4 distinguished scholars from Peking University’s "100 Talents Program."

The School of Intelligence has undertaken numerous projects at national, provincial, and international levels, producing groundbreaking research in artificial intelligence. Many of these achievements have reached internationally advanced standards. The department is committed to advancing AI research and developing exceptional talent in this critical field.

2. Post Settings

Open Positions

Job Series: Assistant Professor / Pre-Appointed Associate Professor / Tenured Associate Professor / Professor (Teaching and Research Series)

Job Responsibilities:

• Teaching and research responsibilities in the field of intelligent science and technology.

Qualifications:

1. Assistant Professor / Pre-Appointed Associate Professor:A Ph.D. in a relevant field.
2. Applicants should generally be aged 35 or below.
3. Experience in postdoctoral research or work/study overseas is preferred.
4. Outstanding scientific research achievements; teaching experience is preferred.
5. Tenured Associate Professor / Professor:A Ph.D. in a relevant field.
6. Applicants should generally be aged 40 (Associate Professor) or 50 (Professor) or below. Age requirements may be relaxed for exceptional candidates.
7. Must hold a tenured position or equivalent at a well-known university, research institute, or globally renowned enterprise.
8. Applicants should have a research focus in natural sciences or engineering technology, with a world-class research record, influential publications in top-tier journals over the last 5 years, or significant international scientific and technological awards.

Research Direction: Scientific research in intelligent science and technology.

Number of Positions Available: 0-2 positions

Contact:

• Name: Wu Guijing
• Phone: 010-62757549
• Email:wuguijing@pku.edu.cn
• Address: School of Intelligence, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing, 100871, China.

3. Application Materials

Applicants are required to submit the following materials:

1. Detailed resume
2. Academic degree certificates
3. Summary of major research achievements
4. Representative publications
5. Future work plans

Application materials are accepted throughout the year.