The Music and Audio Research Lab is seeking to recruit two undergraduate summer research interns to work on the Sounds of New York City (SONYC) project.
The first intern will help develop machine learning-based urban noise monitoring solutions (e.g., urban sound event detection models), and they will help prepare a large-scale urban sound dataset for public release. The intern will work closely with research scientist Dr. Mark Cartwright, as part of a team supervised by Prof. Juan Pablo Bello. The intern should have a computer science background with excellent Python, data wrangling, and code management skills, as well as basic machine learning skills (e.g., has at least taken an intro ML course).
The second intern will help develop a mobile app to support residents experiencing issues related to noise pollution. The intern will work closely with research scientist Dr. Graham Dove, as part of a team supervised by Prof. Juan Pablo Bello. The intern should have a computer science background with excellent programming skills (e.g. Swift and/or Java), and code management skills, as well as some experience in app development (e.g., has at least taken an introductory course).
Both internships are paid, remote, full-time positions for 7 weeks. While remote, the interns will work closely with the team via Slack and will have frequent video-based meetings. Lastly, we are committed to recruiting students from traditionally underrepresented groups in STEM research and education, and we strongly encourage students from these groups to apply.