University of Pennsylvania, Statistics and Data Science

Position ID: 3334-POSTDOC [#23980]
Position Title: Postdoctoral Researcher in Statistics/Machine Learning
Position Type: Postdoctoral
Position Location: Philadelphia, Pennsylvania 19146, United States [map] sort by distance
Subject Areas: Statistics, Machine Learning
Application Deadline: 2024/06/30 11:59PMhelp popup finished (2023/11/30, finished 2024/03/16, listed until 2024/06/30)
Position Description:    

*** this position has been closed. ***


The University of Pennsylvania is seeking a candidate for a Postdoctoral Researcher position under the supervision of Professor Edgar Dobriban (Department of Statistics and Data Science, Wharton School; and Department of Computer and Information Science, School of Engineering and Applied Science).

The position is designed to be a career-building step for new scholars. The primary focus is for the scholar to develop her/his research program. The research is expected to be in one of several broad areas: statistical machine learning, uncertainty quantification, foundations and safety of AI, and/or large-scale data analysis.

Successful candidates will prepare and submit papers to top journals in statistics, and top conferences in machine learning and artificial intelligence. The candidates will also present their research at conferences in these fields.

The position will continue for a year, with possibility of renewal pending available funds. A competitive stipend will be provided. The start date is flexible.

The University of Pennsylvania is an EOE. Minorities / Women / Individuals with disabilities / Protected veterans are encouraged to apply.


Candidates should show outstanding capacity for research, and a promising publication record, in statistics, machine learning, electrical engineering, computer science, data science and/or artificial intelligence. Applicants must have a Ph.D. in statistics, computer science, electrical engineering, applied math, or a related field from an accredited institution.


Please send a CV, research statement, as well as the names and e-mail addresses of 3 referees to Professor Dobriban at Applications are reviewed on a rolling basis.

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Contact: Edgar Dobriban
Email: email address