JOE Listings (Job Openings for Economists)

August 1, 2016 - January 31, 2017

University of California, Irvine

This listing is inactive.
Economics
Postdoctoral Researcher, Econometrics and Machine Learning

JOE ID Number: 2016-02_111457193
Date Posted: 11/22/2016
Date Inactive: 01/31/2017
Position Title/Short Description
Title: Postdoctoral Researcher, Econometrics and Machine Learning
Section: Other Nonacademic (Temporary, Part-Time, Non-Salaried, Consulting, Etc.)
Location: Irvine, California, UNITED STATES
JEL Classification: C -- Mathematical and Quantitative Methods
Keywords:
Econometrics
Machine Learning
Full Text of JOE Listing:

Postdoctoral Researcher, Econometrics and Machine Learning
Department of Economics, UC Irvine
Prof. Matthew Harding, Deep Data Lab
JEL Classification: C – Mathematical and Quantitative Methods

Job Description:
The postdoctoral researcher will work closely with Professor Matthew Harding on developing and implementing projects at the intersection of machine learning and econometrics. Some of the areas of interest are recent advances in deep learning and neural networks, causal inference, high-dimensional statistical modeling, and tensor methods. The position will provide an opportunity to publish collaborative research on Big Data methods using large proprietary panel datasets, such as massive transaction-level purchase data. The postdoctoral researcher will also have the opportunity to interact with faculty in Economics, Machine Learning and Computer Science.

Fields:
We are particularly interested in individuals able to demonstrate excellence in either of the following two areas:
a) Mathematical statistics and theoretical econometrics by developing novel proof techniques related to areas of interest at the intersection of machine learning and more traditional approaches. The candidate is expected to show a relatively broad range of strong mathematical skills and not be limited to one particular set of models or techniques.
b) Machine learning and algorithmic design with a focus on Big Data methods. The candidate is expected to have outstanding computational skills, proven fluency in more than one programming language (e.g. Python, R, Matlab) and familiarity with new libraries (e.g. TensorFlow). Candidates with a strong background in Bayesian modeling are also welcome to apply.

Salary and benefits:
This position is full-time and includes benefits. Salary is commensurate with experience.

Qualifications:
The successful candidate must possess a Ph.D. (by the start of the appointment) in Economics, Statistics, Machine Learning, Computer Science or related disciplines. More experienced candidates with a PhD completed over the past 5 years are also considered. The position is anticipated to begin in mid 2017 for one year with reappointment possible contingent upon satisfactory performance and productivity.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

Application Requirements:
  • External Application Link
  • Letters of Reference Instructions Below
Application deadline: 06/26/2017
Reference Instructions:
Applicants will be asked to name references, and the applicant must request letters to complete their application.