Paid UW Summer Research Opportunity for undergraduate and graduate students – Deadline March 31st

The eScience Institute at the University of Washington invites students to join the “Data Science for Social Good” incubator program this summer.

Sixteen students will be selected to work with academic researchers, computer scientists, and public stakeholder groups on data-intensive research projects with public policy implications. These are paid positions.

Who:
Undergraduate and graduate students are invited to apply, preference given to University of Washington students.

What:
Each student will be part of a team working on a research project that has concrete relevance and impact to the local community on the theme of Urban Science. Projects will involve analysis and visualization of data on topics such as public health, sustainable urban planning, environmental protection, disaster response, crime prevention, education, transportation, governance, commerce, and social justice.

Where:
Most work will be conducted on the UW campus in the WRF Data Science Studio, but some field excursions in the City of Seattle or King County may also be involved.

When:
This is a 10-week long, full-time program beginning June 15th and ending August 21st. Class schedules can be accommodated for students who are enrolled during summer session.

Compensation:
Students will be given a stipend of $6,500 for the 10 weeks. Stipend payments will be dispersed through the UW payroll system on the 10th and 25th of each month.

Qualifications:

  • Strong academic record
  • Previous programming experience (although strong candidates without significant programming experience will be considered)

 

How to Apply:
Submit a cover letter, resume, and transcript (unofficial is acceptable) to manager@escience.washington.edu. In your cover letter, please describe your background, interest in the program, and relevant experience/coursework. Favorable candidates will be contacted for an interview.

 

Application Deadline: March 31, 2015 at 5:00 pm