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SAS: Text Analytics Fellowship


Open to PhD candidates in CS, related fields in US, this fellowship offers the opportunity to work closely with Text Analytics professionals to develop software. Apply by Jan 23.



SAS At: SAS
Location: Cary, NC, USA
Web: www.sas.com


The Text Analytics Research division at SAS is pleased to announce the SAS Summer Text Analytics Fellowship. Open to doctoral candidates in computer science, computational linguistics, computer engineering, and related graduate departments in the United States, this fellowship offers the opportunity to work closely with Text Analytics professionals who develop software used throughout the world.

The Text Analytics fellow will contribute to research, development, numerical validation and testing, and documentation. The program provides an excellent opportunity to explore software development as a career choice.

_Contact_:
Apply online here.

** To be considered for this summer Fellowship opportunity, you must send your resume by January 23, 2015.
You must also ensure that 2 faculty members from the university/college you're currently attending send a letter of recommendation to this email address:

SASFellows@sas.com by January 23, 2015.

Qualifications

Essential
  • Ph.D. in computer science, computational linguistics, computer engineering, and related graduate departments 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 SASFellows@sas.com by January 23, 2015. Please include your name and the job requisition number in the subject line of the email.

 
Preferences
  • Research experience in computational aspects of one of the following areas: Parallel computing, Deep Learning, machine learning for text.
  • Knowledge of Text Analytics concepts

 
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.

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