Postdoctoral Positions

Requirements

• Ph.D. degree holders capable of engaging in full-time research
• Candidates should be in principle no older than 35 years of age and have obtained or will obtain their Ph.D. degree within the past three years
• Strong background in one or more of the following areas:

• ○
  Computational biology
• ○
  Bioinformatics
• ○
  Machine learning/AI
• ○
  Spatial omics technologies
• ○
  Statistics and data analysis
• ○
  Computer science
• ○
  Math

• Programming proficiency in Python, R, or similar languages
• At least one first-author publication record in computational biology or related fields
• Excellent English communication skills (written and verbal)
• Demonstrated ability to work independently and as part of a collaborative team
• Strong commitment to reproducible research and open science principles

Responsibilities

• Lead research projects in developing computational methods in single cell or spatial omics
• Analyze complex spatiotemporal datasets to extract biological insights
• Write scientific papers and present research findings
• Contribute to grant writing and project planning
• Mentor graduate and undergraduate students
• Collaborate with experimental biology labs and clinical partners

Required Application Materials

• Detailed curriculum vitae
• Research statement (2 pages, highlighting your expertise and research interests in computational biology)
• Code portfolio or GitHub repository (if applicable)
• Summary of key research achievements (1-2 pages)
• At least two academic references

Graduate Student Positions

We are actively recruiting graduate students interested in computational biology and spatial omics research. 
Successful candidates will have:

• The qualification for postgraduate recommendation exemption, or meet the requirements of "Application-Review" system for doctoral student admission at Fudan University.
• Strong quantitative background (computer science, statistics, mathematics, or related fields)
• Programming experience
• Interest in biological applications
• Good communication skills

Students will receive comprehensive training in:

• Computational methods for spatial omics
• Machine learning and statistical analysis
• Biological data analysis
• Scientific writing and presentation

Undergraduate Research Opportunities

We welcome undergraduate students from computer science, mathematics, statistics, and biological sciences departments to join our research team. Opportunities include:

• Summer research projects
• Independent study
• Senior thesis research
• Programming and data analysis experience