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Curriculum Technology Center Front Desk Student Staff


The CTC in McCracken Hall is hiring student front desk workers for spring semester. The primary responsibilities of this position are to assist students and faculty with project room reservations, monitoring computer labs, rent out equipment, and answer questions about the technology available in McCracken Hall. 

To apply, complete the CTC Application on Qualtrics. This application will take you approximately 10-15 minutes to complete. You will first be asked about your student status, and then you will be prompted to reflect upon a few customer service scenarios that the front desk staff often encounter. Upon completion, you will be contacted by CTC staff over winter break if you have been selected to interview for the open position. 



Data Science Fellowship

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Boston
  • Washington, DC.

Dates: All sections will be from 2019-04-01 to 2019-05-24.

Application Link:

Early Deadline: 2019-01-14.
Regular Deadline: 2019-01-21.
We are assessing and interviewing candidates who apply for the Early Deadline first and then based on remaining availability, will take candidates who applied for the Regular Deadline on a first-come first-serve basis.

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.



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