JOE Listings (Job Openings for Economists)

August 1, 2015 - January 31, 2016


This listing is inactive.
The Econometrics and Time Series Software Development
SAS Summer Fellowships in Econometrics

JOE ID Number: 2015-02_111454931
Date Posted: 11/30/2015
Date Inactive: 01/22/2016
Position Title/Short Description
Title: SAS Summer Fellowships in Econometrics
Section: Full-Time Nonacademic
Location: Cary, North Carolina, UNITED STATES
JEL Classification: C -- Mathematical and Quantitative Methods
Salary Range: 24.50 per hour
Full Text of JOE Listing:

The Econometrics and Time Series software development division at SAS is pleased to announce the SAS Summer Fellowships in Econometrics for 2016. The Econometrics Fellow will contribute to activities such as research, numerical validation and testing, documentation, creating examples of applying SAS econometric software, and assisting with software development work, and assisting with software development work.

•Ph.D. candidate in economics, statistics, finance or related graduate program in the United States, with at least 2 years of graduate studies completed by the end of the spring 2016 semester.
•Demonstrated experience in statistical computing beyond the routine classroom use of statistical packages.
•Ability to ensure that 2 faculty members from your university/college email letters of recommendation to by January 22, 2016. Please include your name and the job requisition number in the subject line of the email.

We are particularly interested in candidates with a combination of computational and research experience in one or more of the following areas:

•Spatial and spatiotemporal data modeling techniques such as SAR, SEM, SARMA models
•Spatial and spatiotemporal data visualization
•Construction of spatial weighting matrices
•Experience with spatial visualization and data modeling tools (e.g. Matlab, R, GeoDa)
•Experince with GIS mapping software (e.g. Esri)
•Bayesian time series analysis
•Hidden Markov Models
•Regime-Switching models
•Sequential Monte Carlo algorithms (particle filters)
•Variational inference and stochastic variational inference
•Distributed/parallel computational algorithms for econometric model estimation

Additional Information:

SAS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

The level of this position will be determined based on the applicant's education, skills and experience.

This position is a full-time summer opportunity. To be eligible to apply, you must be currently enrolled and/or taking classes towards a Ph.D. degree on at least a half-time basis.

Resumes may be considered in the order they are received.

SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

Application Requirements:
  • Application Instructions Below
Application deadline: 01/22/2016
Application Instructions:
Interested PhD candidates pursuing a degree in the area(s) referenced in job description will need to:

•Apply online at SAS Econometrics Fellow - by January 22, 2016. Reference requisition number 20009603.

•Ensure that two faculty members from the university/college he/she is currently attending send a letter of recommendation via PDF form to prior to January 22, 2016.