The Econometrics and Time Series software development division at SAS is pleased to announce the SAS Summer Fellowship in Econometrics for 2015. 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.
Qualifications
Essential
*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 2015 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 Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo. by January 23, 2015. Please include your name and the job requisition number in the subject line of the email.
Preferences
We are particularly interested in candidates with a combination of computational and research experience in one or more of the following areas:
*Bayesian econometrics
*Bayesian time series analysis
*Markov chain Monte Carlo algorithms for hierarchical Bayesian models
*Bayesian model selection and model averaging
*Long-memory time series processes
*State space models
*Graphical output for econometric modeling
*Discrete choice models
*Linear and nonlinear panel data models
*Dynamic structural macroeconomic models
*Distributed/parallel computational algorithms for econometric model estimation
Application
You may apply to and view all SAS Fellowship Opportunities at http://tinyurl.com/SASFellows. The SAS Econometrics Fellowship is requisition # 20005057.
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.
