[Corpora-List] Postdoc sought for position at University of Pennsylvania

Lyle ungar ungar at cis.upenn.edu
Tue Oct 9 14:26:49 CEST 2018


Postdoc with background in machine learning or econometrics sought for an interdisciplinary research project developing and testing machine learning methods for inferring causality, including constructing statistically efficient methods for dynamically assigning subjects to "A/B testing" trials with dozens of treatment arms and developing novel methods to optimally exploit population heterogeneity matching treatments to people.

This work will include (a) analyzing a large data set we have collected testing the effects of 57 different interventions designed to encourage people to exercise (b) developing new methods for collecting and analyzing such data and (c) writing papers on this work.

The position is at the University of Pennsylvania, but you will work with a distinguished team of economists and computer scientists including

Katy Milkman (Wharton, U. Pennsylvania)

Sendhil Mullainathan (Chicago Booth)

Jann Spiess (MSR New England; Stanford GSB (effective July 2019))

Lyle Ungar (CIS U. Pennsylvania)

For further information, contact:

Prof. Lyle Ungar (ungar at upenn.edu)

- Lyle -- Prof. Lyle H. Ungar Dept. of Comp. and Info. Sci. 504 Levine University of Pennsylvania Philadelphia, PA 19104-6309

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