Berklee

Part-Time Faculty, SuperCollider and Computational Sound

Berklee College of Music - Boston · Part-time

Sponsorship not specified$67k-$138kDetected 1 day ago

PythonSignal ProcessingResearchCommunicationMentoring

About the role

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.
Salaries for faculty positions vary by academic rank; Instructor, Assistant Professor, Associate Professor, and Professor.
Candidates are placed into a rank following the final completion of the interview process, based on qualifications, experience, and alignment with institutional needs.

Guide students in the design and implementation of custom synthesis instruments, generative music systems, and interactive audio applications.
Develop assignments and projects that integrate technical understanding with artistic practice and creative problem solving.
Participate in departmental activities and collaborate with faculty across electronic music, sound design, coding, and immersive media initiatives.
We support an inclusive workplace where everyone excels based on personal merit, qualifications, experience, ability, and job performance.

Professional or academic expertise in SuperCollider.
Strong understanding of digital signal processing, sound synthesis, and computer music systems.
Experience creating original work using code-based approaches to sound and music.
Ability to teach both technical concepts and creative applications.
Bachelor's degree or equivalent professional experience.
The successful candidate will possess deep expertise in SuperCollider as a platform for sound synthesis, digital signal processing (DSP), algorithmic composition, and interactive audio systems.
The faculty member will guide students in developing both technical proficiency and creative fluency through code-based approaches to sound creation and musical expression.

Master's degree or equivalent professional achievement.
College-level teaching experience.
Experience with algorithmic composition, generative music, or interactive audio systems.
Knowledge of additional creative coding environments such as Max/MSP, ChucK, TidalCycles, Python, or related technologies.
Active artistic, research, or professional practice in electronic music, sound art, computational media, or music technology.
About the Department
Electronic applications only.
Please submit the following materials in PDF or Word format, at Berklee.edu/jobs.

Excellent communication, mentoring, and teaching skills, with the ability to translate complex concepts in coding, sound synthesis, and digital signal processing into engaging, student-centered learning experiences.

As part of this commitment, Berklee will ensure that persons with disabilities are provided reasonable accommodations.

This listing is sourced directly from Berklee's careers page and normalized into a canonical job model.