We are analyzing a cool dataset of videos gathered with headcams worn by infants and children, capturing their first person perspectives of their early experiences. We code these videos to get descriptive measures of the kinds of objects and events that children experience. Research assistants (RAs) in this project help us code the videos by annotating images with detailed graphical outlines and word tags. They learn about semantic development and how we can use this data to build statistical and computational models of children’s knowledge and language development.
For this project, we are looking for students with an appreciation for detail, critical thinking, responsible independent time management, and responsive communication. Curiosity, collaboration and respectful discussion with other project members, and initiative in problem-solving are valued and encouraged. Research assistants in our lab are expected to contribute nine hours of lab work each week and are asked to make a two-semester commitment because the training we provide is a significant investment.
We are seeking undergraduates with at least one year of school left (freshman, sophomores, or juniors) to join our team. To apply if you are interested, please contact our lab manager, Katherine Koch (email@example.com), and provide:
- a resume
- responses to these questions:
a) Why are you interested in contributing to our lab and this project?
b) What aspects of your background (experiences, skills, academics, interests, etc.) do you believe are relevant to this project?
c) In what ways do you work well independently? In what ways do you work well collaboratively?