The Feng lab at the University of California, San Francisco is hiring a postdoctoral researcher to develop tools that explain how distribution shifts contribute to performance changes of ML algorithms across contexts and/or over time. The project will draw on various techniques, including causal inference, semi-parametric inference, and feature attribution methods. These tools will also be integrated with sequential monitoring procedures to develop systems that both detect and explain performance drift over time. As real-world case studies, we will be analyzing clinical ML algorithms that are slated for deployment across electronic health record (EHR) systems from three institutions: UCSF, ZSFG, and Duke University. This is a highly collaborative project, involving biostatisticians, machine learning researchers, and clinicians. This is a 3-year position, with a start date of March 2023. See the detailed job posting and instructions for applying at https://www.jeanfeng.com/joining.
The position requires a PhD degree or equivalent in machine learning, (bio)statistics, computer science, or another relevant field. We are looking for someone who: * has experience doing methods development * can perform independent research * can work and collaborate with a team * has experience developing in a Linux environment, using git-based workflows, and writing in Python/R * interest in ML for healthcare If interested in this position, please submit the following materials to jean.f...@ucsf.edu: * A cover letter * A CV summarizing your education and work experience so far * The names and email addresses of three references * One representative publication * A code sample Screening of applicants will begin immediately and will continue until the position is filled. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. --------------------------------------- Jean Feng, PhD Assistant Professor in Residence Department of Epidemiology and Biostatistics University of California, San Francisco https://www.jeanfeng.com/
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