JOE Listings (Job Openings for Economists)

August 1, 2021 - January 31, 2022

Stanford University

This listing is inactive.
Stanford Postdoc in Machine Learning and Public Policy

JOE ID Number: 2021-02_111468380
Date Posted: 11/16/2021
Date Inactive: 01/31/2022
Position Title/Short Description
Title: Stanford Postdoc in Machine Learning and Public Policy
Section: US: Other Academic (Visiting or Temporary)
Location: Stanford, California, UNITED STATES
JEL Classification: 00 -- 00 - Default: Any Field
Machine Learning, Algorithmic Fairness, Sequential Decision Making, Tax Policy
Full Text of JOE Listing:

Professors Daniel Ho and Jacob Goldin invite applications for a postdoctoral scholar focused on the intersection of machine learning, statistics, and public policy. The work would focus on a high-impact collaboration with the Internal Revenue Service to build a more effective and equitable tax system. This is a 2-year position, with the potential of renewal. Some or all of the work may be conducted remotely.

We are searching for outstanding individuals with strong research backgrounds. Experience with research in one or more of the following areas is desirable: machine learning, algorithmic fairness, sequential decision making (e.g., active learning). A Ph.D. degree in Computer Science, Economics, Statistics or a related field is required.

Successful candidates should be prepared to send two letters of reference from your previous research supervisors and collaborators on request. The deadline for the first round is 5pm PST on Sunday, November 28, 2021. The deadline for the second round is 5pm PST on Sunday, January 30, 2022. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.

Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce.

Application Requirements:
  • External Application Link
Application deadline: 01/31/2022