clubSandwich is a popular R package (in the top 10 percent of all R package downloads) that provides several cluster-robust variance estimators for ordinary and weighted least squares linear regression models, two-stage least squares regression models, and generalized linear models. Several adjustments are incorporated to improve small-sample performance. The package follows an object-oriented design to allow for straight-forward extension to other classes of regression models. Several models are not currently supported but are on the roadmap. An intern would be responsible for:
Learning about a statistical model that is not currently supported.
Developing required methods so that the clubSandwich works for the model.
Writing unit tests and examples to verify correct implementation.
Intern needs:
R programming, knowledge of statistical theory at advanced undergraduate level.
Application Requirements:
Review the available projects by visiting the various project pages.
Interns should apply through the UW Student Jobs portal. Applicants who are not currently admitted or enrolled as a UW-Madison Student or without a UW NetID can login as well as create an account. Please note, you must apply to each project individually that you want to be considered for.
Application materials submitted through the UW Student Jobs portal should include:
A one-page cover letter that highlights your qualifications based on skills identified in the project listing and your interest in open source broadly.
A resume that includes your name, school email address, phone number, field(s) of study (major, minor, degree, certificate), relevant coursework, extracurricular activities, expected graduation date, relevant sample work (ex: GitHub link, personal website, etc.) and any relevant work or research experience.
The names and contact information of three references.
Submit a resume, cover letter, and three references as part of your application.
Interviews will be arranged for selected candidates on a rolling basis after applications close.
