University of Pennsylvania, Wharton Department of Statistics

Position ID: 2425-POSTDOC [#16145]
Position Title: Postdoctoral Researcher in Energy Analytics, Causal Inference, and Machine Learning
Position Type: Postdoctoral
Position Location: Philadelphia, Pennsylvania 19104, United States [map]
Subject Areas: Statistics, Energy Analytics, Causal Inference, Machine Learning, Operations Research
Application Deadline: 2021/02/04 11:59PMhelp popup finished (2020/08/04, finished 2021/04/05, listed until 2021/02/04)
Position Description:    

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

* this map is a best-effort approximation. Open in Google Maps directly.

Position Description

The Department of Statistics of the Wharton School, University of Pennsylvania, is seeking candidates for a Postdoctoral Researcher position under the supervision of Professors Edgar Dobriban (Statistics), Eric J. Tchetgen Tchetgen (Statistics), and Steven O. Kimbrough (OIDD). 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 position will continue for two years. A competitive stipend will be provided. This position is contingent upon funding. The focus of the research will be in the development of causal inference and machine learning, with applications to energy and public health.

The work will be part of the newly established Wharton Energy Analytics Lab, and is expected to have a high visibility. Successful candidates will have opportunities to submit papers to top statistics, operations research, and energy journals, as well as leading machine learning conferences. The candidates will also present their research at conferences in these fields.


Candidates should show outstanding capacity for research in the development of statistical, causal inference, machine learning, and operations research methods, and/or in their application in energy analytics. The position will involve innovative research in the development and application of data analytics methods–statistical and machine learning, causal inference, optimization, and market design–to renewable energy. Therefore, expertise on some of these is required, and willingness to learn the rest is expected. Given the interdisciplinary nature of the research, we encourage applications from individuals with diverse skills, including computational data analytics, statistical modelling, etc.

Applicants must have a Ph.D. in statistics, operations research, energy systems, electrical engineering, applied math, computer science or a related field from an accredited institution.

Application Instructions

Please visit our website for a link to submit a CV and other relevant materials:

For full consideration, candidates are encouraged to have all required application documents submitted by February 4, 2021. Any questions about the position can be sent to Professor Dobriban at

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

We are not accepting applications for this position through Mathjobs.Org right now. Please apply at
Contact: Professor Edgar Dobriban
Postal Mail:
265 South 37th Street, 3rd & 4th Floors
Philadelphia, PA 19104
Web Page:

© 2021 MathJobs.Org, American Mathematical Society. All Rights Reserved.