Career Center

The Search Prompt Integrity & Learning Lab (SPILL) is a research initiative led by Dr. Francesca Tripodi. The lab will track the impact of data voids across platforms to mitigate their spillover effects. The team's first objective will be to develop a system for detecting data voids proactively using edit history data from Wikipedia.

We invite applications for a postdoctoral research fellow to join SPILL. They will be responsible for pulling data from a Wikipedia API and analyzing phrase frequencies using Python in support of the lab's mission. The candidate will be expected to work with SPILL and own independent research projects, joining other pre-existing center studies, and contributing to the intellectual life of the center. The position requires no teaching, but fellows may opt to teach up to one class per academic year.

The successful candidate will demonstrate strong quantitative skills and expertise in one or more of the following areas:
* Computational social science (specifically API-based data collection and quantitative analysis)
* Human-computer interaction (HCI)
* User experience (UX) design