Part-Time Faculty, Live Coding and Algorithmic Performance

About this position

Job Description: The Electronic Production and Design Department at Berklee College of Music seeks a part-time faculty member to teach Live Coding and Algorithmic Performance. This course explores programming as a creative and performative practice, enabling students to generate, manipulate, and perform music, visuals, and interactive systems through code in real time. The successful candidate will be an active practitioner with expertise in live coding, creative coding, algorithmic composition, and digital performance. They should be comfortable teaching both technical concepts and artistic applications, helping students develop coding fluency while cultivating their creative voice. This is a part-time faculty position with the opportunity to teach throughout the academic year with a renewable contract, initial appointment beginning in September, 2026. Compensation is commensurate with professional experience. Responsibilities Teach undergraduate courses in live coding and algorithmic performance. Introduce students to coding environments used in contemporary creative practice, such as SuperCollider, TidalCycles, Sonic Pi, ChucK, Max/MSP, Processing, p5.js, Hydra, or related platforms. Develop student understanding of programming concepts including sequencing, pattern generation, algorithmic composition, data structures, functions, control flow, and generative systems. Contribute to curriculum with foundational examples and exercises Guide students in the creation of original live coding performances, compositions, and interactive media projects. Demonstrate contemporary artistic and professional applications of creative coding across music, multimedia, performance, installation, and emerging technologies. Provide constructive feedback, mentorship, and assessment of student work. Participate in departmental activities and collaborate with faculty across electronic music, performance technology, sound design, and coding initiatives as appropriate. Requi

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