Students that wish to work as a student volunteer for the SC19 Conference should apply through the Student Volunteer program: https://sc19.supercomputing.org/program/studentssc/
SCinet is the Supercomputing Conference’s (SC) dedicated high-performance research network that is built by volunteer expert engineers from industry, academia, and government, for the duration of the SC Conference.
There are more than 15 teams and over 150 volunteers that comprise SCinet, all focused on specific areas of expertise involved in setting up and operating this research network. Depending on the interests stated in this application, SCinet will identify and connect the final candidates with a team and mentor during the conference.
The review committee, comprised of a panel of experts from the research and education community, will select up to five candidates to receive funding to set up and operate SCinet at the SC19 conference in Denver, CO from October 28 - November 1* and November 10-23, 2019. Final candidates will be notified by mid to late May 2019.
Additional information on the SC19 Conference can be found on the SC19 website.
Applications due: April 1, 2019 - 11:59 PM AoE - Responses can be edited until this date
All applications and supplementary material should be submitted using this form.
Supplementary material includes: Statement of Interest letter Résumé or CV (curriculum vitae) Letter of Support from your employer
Note: The supplementary materials are very important components of the application and will influence the awards. Guidelines and tips on composing acceptable and complete materials can be found on the WINS website (http://women-in-networking.net/apply-to-wins/).
If you have additional questions about the application process or experience issues using this form, please contact the WINS team via email: firstname.lastname@example.org .
Please note that UCAR, ESnet, or SC Conference must make all travel arrangements for SCinet/SC19 Travel Grant awardees.
*Travel for the week of October 28 - November 1, 2019 may or may not be necessary.