In recent years, Peking University (PKU) Health Science Center has consistently implemented reforms in its personnel and talent development system, adhering to a strategy that prioritizes strengthening the university through talent cultivation and recruitment. By providing generous support and fostering an exceptional academic environment, the school aims to nurture young talents with potential and capabilities in medical innovation. This holistic approach combines both professional guidance and personal growth opportunities, enabling these promising individuals to realize their professional aspirations at Peking University Health Science Center and emerge as scholars who embody noble teaching ethics, remarkable scientific innovation, and outstanding humanistic qualities.

Due to the development needs of Peking University School of Basic Medical Sciences, in order to address fundamental issues such as the prevention, diagnosis, treatment, and understanding of disease mechanisms, the school intends to recruit high-level talents in the field of AI for medicine from both domestic and overseas. The relevant matters are announced as follows:

Introduction to the School of Basic Medical Sciences

The predecessor of the School of Basic Medical Sciences was the Department of Basic Medical Sciences of Beijing Medical College, which was established on September 14, 1954. Since its inception in 1954, it has gradually developed into a top-tier center for basic medical education in China. The School of Basic Medical Sciences at Peking University currently comprises 16 departments (or institutes) and boasts several internationally advanced research bases and experimental technology platforms, including one national key laboratory.

The college boasts an impressive faculty roster, attracting numerous renowned scholars from both China and abroad. Its staff comprises six academicians from the Chinese Academy of Sciences and Chinese Academy of Engineering, 20 recipients of the National Science Fund for Distinguished Young Scholars, 18 recipients of the National Science Fund for Excellent Young Scholars, and other esteemed national-level talents. In terms of teaching, the college undertakes basic medical courses for multiple majors, emphasizing teaching innovation and the cultivation of students' practical abilities. With fruitful results, it has repeatedly received national and municipal teaching achievement awards. The basic medical discipline was awarded an "A+" in the fourth round of disciplinary assessments by the Ministry of Education and was selected as a national "Double First-Class" discipline for construction. According to the "Shanghai Ranking’s Academic Ranking of China's Best Disciplines" from 2018 to 2022, Peking University's "Basic Medical Sciences" discipline ranked first for five consecutive years. In scientific research, the college is primarily engaged in basic and applied fundamental research in the field of biomedicine, boasting strong comprehensive research capabilities. The college publishes an average of over 300 scientific research papers annually, including top-tier journal articles in Science, Nature, Cell, NEJM, and Nature Medicine. After more than 60 years of development, the college has become one of the national training bases for high-level professionals in the field of basic medicine, making significant contributions to the development of biomedical disciplines both domestically and internationally.

Subject Areas of Recruitment

The applicant's academic background includes but is not limited to:

Artificial intelligence at the cellular and molecular levels. Studies on issues such as the self-aggregation of disordered proteins and the interaction between proteins and cell membranes, combined with molecular dynamics simulations and machine learning algorithms, are of great significance for exploring the relationship between molecular structure and function, revealing cellular molecular mechanisms, and Identification of drug targets.

Artificial Intelligence in Drug Development and Treatment. Assisting scientists in accelerating the discovery of new drugs and optimizing treatment plans for existing drugs; aiding doctors in developing more precise treatment plans based on individual patient differences to achieve personalized diagnosis and treatment.

Artificial Intelligence in Symbiotic Bacteria Interaction. Combining microbiomes, metabolomics, genomics, transcriptomics, and other multi-omics big data, we use deep learning to construct the human body and symbiotic microbes’ interaction network model to explore the mechanism of the human body and microbes’ interaction, and to predict drug responsiveness, prognosis prediction, and guidance of interventional methods for diseases.

Artificial Intelligence in Basic Medical Bioinformatics Big Data. In the medical field, we plan to explore the molecular regulation mechanisms underlying individual development and the occurrence of complex diseases through the utilization of genomic big data, bioinformatics methods, and high-throughput experimental techniques such as single-cell sequencing and spatial transcriptomics. Additionally, we aim to identify drug targets for infectious diseases and malignant tumors. By combining algorithm design with artificial intelligence technology, we intend to establish a precision medicine system that enhances diagnostic accuracy and improves treatment outcomes.

Artificial Intelligence in Multimodal Imaging. Utilizing multimodal attention models for disease diagnosis, lesion segmentation is performed through multimodal segmentation networks, enhancing the accurate detection and diagnosis of diseases. Existing technologies, such as 3D convolutional neural networks, are optimized to improve the accuracy and efficiency of medical image analysis. By leveraging the complementary information provided by different imaging modalities, AI-based multimodal imaging techniques can offer a more comprehensive understanding of the disease, leading to improved patient outcomes.

Artificial Intelligence in Individualized Health Management and Disease Early Warning. Utilizing structured medical record data and medical knowledge graphs, we aim to construct individualized health profiles and disease prevention systems. By continuously monitoring an individual's physiological data (such as pulse, blood pressure, blood sugar, electrocardiogram, etc.) and combining it with intelligent algorithms, we can achieve early disease warning and personalized health management. This approach enables proactive and tailored interventions to maintain or improve an individual's health status, ultimately leading to better health outcomes and quality of life.

Artificial Intelligence in Database Construction and Intelligent Management. In the field of medical science, we aim to establish extensive databases of medical literature. By utilizing big data mining and knowledge discovery techniques on these medical literature databases, we can achieve rapid acquisition and intelligent management of medical knowledge. Simultaneously, we will leverage smart management and efficient utilization technology systems for population health science big data to enhance our ability to analyze and manage health data on a larger scale. This integrated approach will facilitate a more comprehensive understanding of population health trends, leading to improved healthcare outcomes.

Application conditions and support guarantee

Application Conditions

Born on or after January 1, 1984;

Holding a Ph.D. degree;

Generally, by April 15, 2024, applicants should have obtained a formal teaching or research position at an overseas university, research institution, or corporate R&D organization, and possess continuous work experience of over 36 months. For those who have obtained their Ph.D. degree overseas and demonstrated outstanding achievements, the work experience requirement may be appropriately relaxed;

Applicants must not have returned to China for full-time work, or if they have, it must be after January 1, 2023. Upon receiving the funding notification, applicants must resign from their overseas positions (if any) and commit to working full-time in China for a minimum of 3 years.

Excellent Compensation and Benefits Package, Specific Amount to be Discussed

Competitive salary;

Entitled to school-provided temporary housing or talent apartments, and eligible individuals may purchase talent housing from the school at a preferential rate upon obtaining a long-term position;

Access to the best educational resources in Beijing, including kindergartens, Peking University Primary School, and Peking University High School, ensuring worry-free education for children;

Top domestic hospital groups affiliated with the school to safeguard the physical and mental health of you and your family.

Application Materials Checklist

Resume/Curriculum Vitae (CV)

Education: List degrees, fields of study, institutions attended, graduation dates, and any honors received.

Work Experience: Detail professional positions, including job titles, responsibilities, and accomplishments.

Publications: Provide a complete list of published articles, papers, or books, including titles, publication dates, and co-authors.

Conferences: Highlight any academic conferences attended, papers presented, or roles played (e.g., session chair, panelist).

Awards and Honors: Include any recognitions, grants, scholarships, or fellowships received.

Cover Letter or Academic Statement

Summary of Past Research: Briefly describe the focus and outcomes of your previous research projects.

Future Research Vision and Plan: Outline your proposed research areas, questions, methodologies, and expected contributions to the field.

Career Goals: Discuss your long-term career aspirations and how the position aligns with your professional development.

Two Letters of Recommendation

From Experts in the Field: Request letters from individuals familiar with your work, ideally professors or mentors who can speak to your research abilities, accomplishments, and potential.

Letters Should Include An overview of the recommender's relationship with you, specific examples of your work or achievements, and their assessment of your qualifications for the position or program.

Contact Information: Ensure that the letters provide the recommender's full name, title, institution, and preferred contact method (email or phone).

Contact information is as follows

Candidates interested in applying for the position in Artificial Intelligence for Basic Medical Sciences are requested to submit their resumes and relevant application materials to the following email address:

Email: jichuzp@bjmu.edu.cn

Please ensure that the email subject line indicates "Application for AI in Basic Medical Sciences + Your Name" to facilitate the prompt and accurate processing of your application.