The Department of Statistics and Data Science at Carnegie Mellon University (www.stat.cmu.edu) is world-renowned for its contributions to statistical theory and practice. Research in the department runs the gamut from pure mathematics to the hottest frontiers of science. Our faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. (For example, two current members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) Current collaborative research by our faculty is helping to make fundamental advances in neuroscience, cosmology, networks, finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning. The Department augments all these strengths with a friendly, energetic working environment; exceptional computing resources; and strong research ties with other units on campus and across the nation. Talented graduate students join the department from around the world and add a unique dimension to the department's intellectual life.
Duties and Responsibilities: This is a two/three year postdoctoral position in Professor Kathryn Roeder's research group (http://www.stat.cmu.edu/~roeder/), co-directed by Professor Jing Lei (http://www.stat.cmu.edu/~jinglei/). The successful candidate will apply cutting edge methods in statistics and machine learning to solve scientific problems emerging from genetics, using modern large-scale genomics data such as single-cell sequencing data. We are looking for highly motivated individuals with a strong background in statistical methodology/theory, and a genuine interest in the science and data-driven research.
The successful candidate must have (1) a Ph.D. in statistics, biostatistics, computational biology, computer science or other related quantitative field, (2) strong computing skills, (3) good communication skills.
Apply at http://apply.interfolio.com/83861.
Applicants for this position must submit a cover letter and a CV. Contact email: email@example.com.
Application period will close when position is filled.
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Internal Number: 83861
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.