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UCSF – postdoctoral researcher for cognitive aging research
Company NameUCSF
Position Titlepostdoctoral researcher for cognitive aging research
Company Information
The Department of Epidemiology and Biostatistics at UCSF is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work on cutting-edge problems in statistical methodology, with a particular emphasis on causal inference and information synthesis. Methodological work will be closely linked to applications in cognitive aging research.
The postdoctoral fellow will be co-supervised by Dr. Chiung-Yu Huang and Dr. Fan Xia, whose research spans causal inference, semiparametric theory, survival analysis, and efficient methods for data integration and information synthesis.
Duties and Responsibilities
• Conduct methodological research in causal inference and data fusion.
• Collaborate on applied projects with interdisciplinary teams.
• Prepare publications for peer-reviewed journals and present findings at scientific meetings.
Position Qualifications
• Ph.D. in Statistics, Biostatistics, or a related quantitative field (completed or near completion).
• Strong background in statistical theory and methods.
• Proficiency in statistical computing (e.g., R, Python).
• Excellent communication and collaborative skills.
Benefits
• Start date: Fall 2025
• Duration: 1 year with the possibility of renewal up to three years.
• Salary: Commensurate with experience and based on NIH or institutional guidelines.
• Location: San Francisco, CA
Application Instructions
Please send the following to Fan.Xia@ucsf.edu:
• A cover letter describing your research interests and fit for the position.
• Curriculum Vitae.
• Contact information for 2-3 references.
• Representative publication or writing sample
Applications will be reviewed on a rolling basis until the position is filled. Early submission is encouraged.