Open Positions

The PKU-EMBL Lab welcomes applications and informal inquiries from highly motivated researchers interested in AI for life science, microbiome science, environmental biotechnology, and bioinformatics. We recruit visiting students, research assistants, master’s students, Ph.D. students, and postdoctoral researchers on a rolling basis, subject to project needs and available support.

Research Directions

Current projects in the group include:

  1. AI for multi-omics and microbiome analysis
  2. Scientific agents and foundation models for biology
  3. High-performance bioinformatics software, databases, and workflow systems
  4. Microbial resource mining, cultivation, and biosynthetic gene cluster discovery

Who We Are Looking For

We are particularly interested in applicants who have:

  1. A background in bioinformatics, computational biology, environmental engineering, computer science, mathematics, statistics, or a related field
  2. Strong quantitative skills and solid programming ability
  3. Demonstrated interest in machine learning, large language models, scientific computing, or microbiome research
  4. The ability to work independently while collaborating closely in a multidisciplinary environment

Prior experience in research, software engineering, open-source development, or data-intensive biological analysis is highly valued.

Research Environment

Our lab combines dry-lab and wet-lab collaboration, large-scale environmental datasets, and modern computational infrastructure. Ongoing projects span environmental microbiology, multi-omics, bioinformatics, scientific agents, and AI-native research workflows. The group has access to high-performance GPU resources including H200, A100, and L40S systems, as well as opportunities for interdisciplinary collaboration and translation.

For suitable projects, research internships are currently organized in an online format. Outstanding interns who later apply for graduate study may be considered for future openings and recommendation within the lab’s training pipeline.

How To Apply

Please send your CV and, if available, a short statement of research interest to:

  • yuke.sz@pku.edu.cn
  • hwu202425@gmail.com

Please use the subject line:

[Visiting Student / Research Assistant / Master's / Ph.D. / Postdoc] Name - University - Major - Research Interest

We are happy to hear from applicants who would like to discuss fit, research directions, or the lab environment before submitting a formal application.

中文说明

PKU-EMBL Lab 长期欢迎有志于 AI for Life Science、微生物组学、生物信息学与环境生物技术 的同学和青年研究人员联系申请。课题组目前开放 访问学生、科研助理、硕士、博士及博士后 等岗位，并根据课题进展与经费情况持续招收优秀成员。

研究方向

  1. 面向多组学与微生物组研究的人工智能方法
  2. 面向生命科学问题的科学智能体与生物大模型
  3. 高性能生物信息学软件、数据库、分析流程与社群资源建设
  4. 极端环境微生物资源挖掘、生物合成基因簇发现与培养验证

我们期待的申请者

  1. 具有生物信息学、计算生物学、环境工程、计算机、数学、统计等相关背景
  2. 具备扎实的数理基础与编程能力
  3. 对机器学习、大语言模型、科学计算或微生物组研究有明确兴趣
  4. 愿意在跨学科环境中开展长期、深入且高标准的研究工作

培养与平台

课题组强调干湿结合与计算实验协同，研究内容覆盖极端环境微生物资源挖掘、多组学解析、AI for Science、生物信息软件开发与科学智能体等方向。团队配备较强的计算资源与数据基础，并可提供跨学科合作、科研训练和成果转化相关机会。

申请方式

请将个人简历发送至 hwu202425@gmail.com，并抄送 yuke.sz@pku.edu.cn。如有研究计划、代表性项目或论文，也欢迎一并附上。

邮件主题建议统一为：

[申请类型] 姓名-学校-专业-感兴趣的研究方向