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[AUDITORY] Music Technology Faculty positions at MIT, applications due January 1, 2023



- * - * Please forward widely. Sent on behalf of Michael Scott Asato Cuthbert. * - * -

Dear Auditory list, 

MIT has two jobs that may be of interest to the Auditory community, both (now) due Jan 1, 2023

1. Assistant Professor of Music Technology and Computation

2. Assistant Professor in Music Technology in Mechanical Engineering and Music

MIT has a very diverse community of students studying music technology.  The undergraduate population is nearly 50/50 male/female (unusual in the US for a technical school) and music is also equally gender balanced.  We have found that when computation programs are focused on specific outcomes, such as music technology, that women can be the majority of students who take the classes.  Five years ago a computational humanities program launched that I was fortunate to chair (MIT Digital Humanities Lab) and the students involved were 75% female and 70% racial minorities (35% Black, Latino/a/x, and Indigenous).  The current faculty at MIT (myself included) are strongly committed to creating a supportive and encouraging place for research, mentoring, and teaching in music technology/MIR and in mechanical engineering (extremely broadly defined, including AI/EE/signals/acoustics etc.) and want applicants to note that we list fields only to give an idea of what might be possible, but not to limit anyone in the field.  For people beyond the assistant professor stage, please have the assumption that “under special circumstances more senior appointments may be possible” applies to you and that the committee will fight for a proper appointment.

Descriptions follow.  And thank you for letting me contact you via this list.

Michael Scott Asato Cuthbert (cuthbert@xxxxxxx)
Associate Professor of Music, MIT.  Co-chair of the searches.

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The first position is jointly offered with the Schwarzman College of Computing.  Applications are due January 1, 2023 (Extended from original deadline of December 15, 2022):

Areas of interest include music information retrieval (audio or symbolic), computational approaches to music cognition or perception, human-computer interfaces in music or musical instruments, software and/or algorithms for musical creativity or creation, computation in traditional music research, music and AI/Machine learning, or visualization of music. This listing of areas merely gives suggestions; the search welcomes disciplines not listed, including those that are emerging or not always considered part of music technology.

Full Job Description
Application Link
 
The second position is jointly offered with Mechanical Engineering.  Applications are due January 1, 2023; from its job ad:

Music Technology relies on innovative and integrated research efforts in creative arts, design, acoustics, sensors and actuators, robotics, hardware systems, modeling, computation, and/or machine learning. Topics include but are not limited to: modeling and design for music technology; physics-based approaches to understand and develop musical instruments; integration of sensors, actuators, and advanced materials to performance systems; estimation theory and control for music technology; robotic musical systems and human interactions; design and modeling of integrated media systems; acoustics, signal processing, and computer graphics for musical devices and performance systems; machine learning for the design and manufacturing of musical instruments; and mechanics and artificial intelligence for embedded music systems.

Job Description
Application Link

Candidates may apply to either or both positions. Though these are Assistant Professor positions, in special circumstances more senior appointments may be possible.  These searches coincide with a larger movement to increase opportunities and visibility of music technology and music computation at MIT, including the potential for new programs and degrees in the near future.

MIT is an equal-opportunity employer: women and underrepresented minorities are especially encouraged to apply.

--
Blair Kaneshiro, PhD
Graduate School of Education
Center for Computer Research in Music and Acoustics
Stanford University