CENTER FOR STATISTICS AND MACHINE LEARNING - SML310 AI
The Center for Statistics and Machine Learning at Princeton University has openings for an AI to participate in delivering SML310 -- Research Projects in Data Science in the Spring 2020 semester. Students in SML 310 will work on a substantial independent project in data science. Lecture topics will support student projects and will include supervised and unsupervised machine learning methods, deep learning, data visualization, and hierarchical modeling.
The AI will work with students who are working on projects that fall within the AI's specialization, hold office hours, assist with grading, hold Python workshops for students who are beginners in Python, and lead some of the precept sessions.
Requirements: experience with and enthusiasm for machine learning and data science; expertise in data analysis using Python and/or R. Experience with TensorFlow, PyTorch and/or Stan would be an asset but is not a requirement. We encourage applications from candidates in core data science disciplines as well as any other candidates whose work involves advanced quantitative analysis.
Interested candidates should contact Daisy Huang and Jonathan Hanke. Please attach a resume/CV and both undergraduate and graduate unofficial transcripts. Applications will be considered on an ongoing basis.