Location: (Los Angeles, CA)
Personal Research Web Page: http://www-bcf.usc.edu/~echew
Keywords: mathematics and computation in music, automated music analysis, music visualization, expressive performance analysis and synthesis, music information retrieval
The research goal of the Music Computation and Cognition group at USC is to systematically study, computationally model, and scientifically explain human abilities in music perception and cognition, and in music making, such as music performance, improvisation, and composition.
Research projects at the laboratory address the three main areas of music analysis, performance, and composition/improvisation. They include:
• decoding and generation of decisions and gestures in music performance;
• analysis of musical ensemble in networked music performances;
• multi-modal interaction in human-machine musical improvisation; and,
• automatic analysis and visualization of musical structure.
The MuCoaCo website — http://www-bcf.usc.edu/~mucoaco — and the MuCoaCo blog — http://mucoaco.blogspot.com — contain detailed project descriptions, video demonstrations, and lists of publications and awards. The broad areas spanned by the research projects are mirrored in the seminar course on Topics in Engineering Approaches to Music Cognition — http://www-scf.usc.edu/~ise575 .
The successful postdoctoral researcher is expected to engage in music computing research, and to have completed graduate-level training in at least one of the following quantitative analysis areas: mathematics, computer science, operations research, signal processing, statistics, or neuroscience. It is highly advantageous for the candidate to possess graduate-equivalent practical or theoretical knowledge in music analysis, performance, composition, or music perception and cognition. Preference is given to individuals with prior experience in music computing research.
MuCoaCo affiliates have had backgrounds in Computer Science, Electrical Engineering, Industrial and Systems Engineering, Music Composition, Music Performance, Neuroscience, and Psychology.
Associate Professor, USC Viterbi School of Engineering and Thornton School of Music