The developmental intelligence lab (https://www.la.utexas.edu/users/dil/), directed by Prof. Chen Yu, is seeking research assistants. The main research of the lab focuses on using state-of-the-art sensing and computing techniques to understand human behavior and human mind. Toward this goal, the lab develops and uses various data mining and machine learning tools to analyze multimodal and multimedia data. In one of our current studies, we are bringing our lab equipment to families’ homes! Caregivers and their infants are asked to wear our head-mounted eye trackers during their daily routines so that we can study all the information available to young children as they learn language. We are building a new lab at UT Austin that mimics a home environment, complete with a kitchen, living room, and play area. We will bring families into our lab space to record their behavior using eye trackers, motion sensing equipment, and other sensors. We also conduct learning studies with infants and adults using screen-based eye trackers.
Students from across different disciplines are invited to apply, including psychology, human development, computer science, and neuroscience. We will consider applications from any student interested in development, language acquisition, learning, intelligence, or computation. We especially welcome applications from freshmen and sophomores. We are looking for reliable and hard-working students who are interested in a hands-on research experience. We expect our undergraduate research assistants to complete tasks efficiently and in a timely manner, be detail oriented, motivated, and organized. Students need to be able to work both independently and collaboratively as a team member. Basic computer skills are required. Students who have an interest in pursuing a graduate career in research (psychological or otherwise) are encouraged to apply.
Responsibilities will vary by the student’s skill and interests but could include: · Behavioral coding of eye tracking and speech data. · Data entry · Assisting in data collection · Helping in literature reviews · Introductory data analysis and statistics · Working on computational modeling, machine learning, and computer vision project
