The Music and Audio Research Laboratory (MARL) welcomes applications for a postdoctoral associate position on the Spatial Sound Scene Description (S3D) project. S3D is a new initiative, funded by the National Science Foundation, that aims to develop computational approaches to describe sound sources in real environments by their category (e.g. dog, truck), location, direction of motion and speed. Our approach mixes innovative data collection and machine listening solutions including probabilistic synthesis, multi-modal annotation, self-supervised representation learning and structured classification.
The duties of the postdoctoral associate include: (a) Research and development on novel single and multi-modal self-supervised learning strategies for audio; (b) Research and development on sound source classification, localization and tracking; (c) Leading research teams and mentoring students; (d) Disseminating research outcomes through publications, presentations, data and code repositories; (e) Active contribution to open code/data efforts in the lab; (f) Contribution to the development of new projects, partnerships and grants.
Terms of the position: - This is a Full-time position based in New York City - Preferred start date: January, 2021 - Salary: $70,000/year plus benefits
- Required Education: A doctoral degree (or all but defense) in CS, EE, music technology or related discipline, by the start date of the position. - Required Experience: Proficiency in all of: (a) machine learning; (b) signal processing; and (c) Python programming. Familiarity with large-scale computing is highly desirable. - Preferred Experience: Familiarity with one or several of: (a) machine listening and/or MIR; (b) self-supervised learning; (c) speech, image and/or video processing.
MARL brings together scholars from a variety of disciplines to explore the intersection between music, sound, technology and science. Its goals are to combine knowledge and methods from science, technology, engineering, mathematics and the arts to: understand and model human cognitive abilities in music; innovate the analysis, organization and creation of sound and music; and advance new models of music engagement, interaction and learning. The lab currently has more than 30 researchers, has received $10M in funding over the last decade, and occupies new, state-of-the-art facilities in the NYU Brooklyn campus.
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