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postdoctoral research fellow
Company Information
UCSF is a world-renowned medical school with 7 Nobel Prize winners, 31 members of the National Academy of Sciences, 69 members of the Institute of Medicine, and 30 members of the Academy of Arts and Sciences. UCSF is located in Silicon Valley, the heart of innovation.
We are seeking highly motivated and skilled postdoctoral research fellows to join our team at the Department of Epidemiology and Biostatistics, University of California, San Francisco (UCSF). The ideal candidate will have a strong background in high-dimensional statistics, deep learning, and related fields, as well as advanced computational skills. More importantly, the candidate should be highly motivated to learn new technologies, willing to acquire domain knowledge, and eager to develop engineering skills.
The appointed researchers will conduct studies under the guidance of Dr. Fei Jiang, an associate professor in biostatistics at UCSF. Dr. Jiang is the first or senior author on publications in prestigious statistical journals such as JASA and AOS, as well as in the NeuroImage journal and computational journals/conferences like NeurIPS, KDD and JMLR. She is also a recipient of a NIH K award for her work on identifying biomarkers for Alzheimer’s disease and is expected to receive NIH R01 funding (2%) for developing novel methods to predict brain aneurysm growth. Dr. Jiang’s lab currently focused on creating end-to-end solutions to bridge the gap between new technology and clinical practice.
The fellows will focus on a range of projects leveraging statistical and machine learning techniques in neuroimaging and physics-informed deep learning research. The scope of work includes but is not limited to network neuroscience, physics informed deep learning, and deep brain stimulation. The fellow is expected to conduct end-to-end research, starting from the preprocessing pipeline to the integration with our existing platform. The fellows will also have opportunities to gain industry experience in collaborative environments involving computer scientists, bioengineers, and statisticians.
The outcomes of this research may include patents or scholarly articles. Additionally, the fellow will have the privilege of working alongside renowned experts within the Department of Radiology, the Memory and Aging Center, and throughout the university.
● Ph.D. in Statistics, Computer Science, Economics, or a related field
● High computational skills (e.g., Python, R)
● Excellent programming and data analysis skills
● Strong research and writing skills
● Ability to work independently and as part of a team