Graduate Internship Postings

Statistics Internship (Summer 2019) - Shell



Position Title:

Statistics Internship (Summer 2019)

Post date:

Tue, 09/18/2018 - 15:41

Required Qualifications
• Pursuing a Master’s or Ph.D. in Statistics with an expected graduation date of December 2019
to August 2020.
• Knowledge of design of experiments, general linear modeling, multivariate analysis, reliability,
spatial analysis, statistical computing, statistical modeling, and/or time series modeling.
• A practical common sense approach to problem solving and attention to detail.
• A passion for practicing statistical consulting to solve real-world problems.
• Excellent oral and written communication skills.
• Strong interpersonal skills and enthusiasm for team work, as well as the ability to work inde-
• Proficiency in statistical software packages such as R, SAS, Matlab, JMP, Minitab, etc.
• Master’s candidates must have authorization to work in the U.S. on a full-time basis without
requiring sponsorship now or in the future. In some cases, we are able to sponsor Ph.D. candi-
dates attending a U.S. university.

To Apply

Please submit your résumé to Mariette Wardenaar-Noordsij ( Ap-
plications are invited through October 12, 2018.

Psychometrician - Emmersion Learning


Emmersion Learning

Position Title:


Post date:

Mon, 05/14/2018 - 11:51

Emmersion Learning (Lehi, Utah) is looking for a grad student who will help design and conduct statistical analyses and assist in research efforts to support the development and improvement of TrueNorth automated language tests.


  • Proven ability to define meaningful metrics and measure them
  • Proven ability to learn new approaches quickly
  • Experience and proficiency using R for data analysis
  • Strong communication and organization skills
  • Educational background in quantitative statistics, and educational measurement
  • Track record of success in communicating data to non-technical stakeholders

Extra Experience That Would Be Nice:

  • Experience using Item Response Theory for data analysis (especially in R)
  • Familiarity with both the Rasch Model and 2PL IRT model
  • Experience with SQL for data analysis
  • Familiarity with back-end software development (C#)
  • Experience with Computer Adaptive Testing

Organization website:

Description and application