Summary: The Center for Data Science (CDS) at New York University (NYU) is offering a PhD program in Data Science aimed at training future researchers who are rigorously trained, cross-disciplinary, and ethically responsible. This program, launched in Fall 2017, has been recognized globally for its excellence and has received significant support from various industry and academic bodies.
Designation: PhD Candidate in Data Science
Research Area:
- Machine Learning and Perception
- Science and Applications (e.g., Biology, Climate, Psychology)
- Theory (e.g., High-Dimensional Statistics, Optimization)
- Data Engineering & Data Visualization
- Medical School Track (e.g., Medical Imaging, Automatic Diagnostics)
- Responsible AI (e.g., Algorithmic Fairness, Data Governance)
Location: New York City, with an opportunity to conduct research at NYU Shanghai
Eligibility/Qualification:
- Relevant undergraduate or master’s degrees in Mathematics, Statistics, Computer Science, Engineering, or related scientific disciplines
- Coursework or equivalent experience in calculus, probability, statistics, and programming
- Work or research experience in data science is preferred
Job Description:
PhD candidates will engage in rigorous training to develop methodologies and utilize statistical tools for cross-disciplinary questions. Responsibilities include:
- Conducting original research in data science
- Communicating research insights effectively
- Translating research findings into practical applications
- Understanding the ethical implications of data science work
Candidates will also benefit from a unique core curriculum, data assistantships, internships, and modules in communication and entrepreneurship.
How to Apply:
Interested candidates can apply through the GSAS Application Resource Center. For detailed application guidelines and FAQs, please refer to the CDS admissions webpage.
Last Date for Application:
Thursday, December 5, 2024, at 5 PM EST
For more information, contact: cds-admissions@nyu.edu
Join us for the Fall 2025 PhD Admissions Information Session on Thursday, October 17, 2024, from 9:30 AM to 11:30 AM EDT.
