FAQs
What is the location of the internship?
The internship is based out of the Washington D.C. office and requires at least 8 days per month in the office.
Is prior work experience necessary for this internship?
No prior work experience is required, but candidates should be currently pursuing or recently completed a bachelor’s or master’s degree.
What programming languages should applicants be familiar with?
Applicants should be able to read and write Python and have basic familiarity with R. Experience with Git is preferred.
What skills are needed for geospatial analysis in this role?
Proficiency in geographic data science, geospatial analysis, including both raster and vector data formats, and spatial statistics is required. Experience with QGIS is preferred.
What is the duration of the internship?
This is a full-time, 3-month internship with a flexible start and end date.
How much is the pay for this internship?
The pay is $20/hour for undergraduates, $22/hour for graduates, and $24/hour for PhD students.
What are the key tasks involved in this internship?
Key tasks include validating input and output data, running the urban heat model, documenting the modeling workflow, comparing microclimatic conditions, investigating heat exposure, and summarizing outputs.
Is there an application deadline for this internship?
Yes, applicants must submit their resume and cover letter by March 18, 2025.
Will I have the chance to present my findings?
Yes, at the end of your internship, you will have the opportunity to present your findings to the Cities Data Community of Practice.
Does WRI provide sponsorship for work visas?
No, WRI is unable to sponsor any visa work sponsorship for this position, and applicants must have existing work authorization at the time of application.
How does WRI approach diversity and equity in hiring?
WRI is committed to advancing gender, racial, and social equity and applies this principle to its organizational practices, ensuring equal opportunities in employment for all qualified applicants.