tenure track position in music technology at Georgia Tech
by Jason Freeman
[Apologies for cross-posting.]
The School of Music (http://www.music.gatech.edu) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a tenure-track faculty position in Music Technology. Applicants will be considered at the level of Assistant Professor.
The School seeks a scholar in music technology whose interdisciplinary research spans both technical research and creative practice, transforming the ways in which we create, experience, and understand music. The candidate will be expected to teach graduate and undergraduate courses in music technology and to lead a research lab at the Georgia Tech Center for Music Technology. The primary emphasis area can be drawn from any area of music technology; examples include research that addresses Virtual/Augmented Audio, Game Audio, Musical Acoustics, Computational Musicology broadly defined, or Musical Interfaces and Hardware. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.
The School of Music offers B.S., M.S., and Ph.D. degrees in music technology, along with a music minor, that develop students' musical, technical, and theoretical skills. In collaboration with the Georgia Tech Center for Music Technology, the School's faculty and students conduct cutting edge research in areas such as music cognition, music information retrieval, data sonification, robotic musicianship, and education. In addition, the School houses a variety of performing ensembles that attract the participation of over 800 Georgia Tech students per semester.
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion.
The following application materials should be submitted as a single .PDF file via email to musicfacultysearch2019(a)gatech.edu:
* Letter of application
* Link to online portfolio (sample of research, creative work, and/or performances)
* Research statement (2-3 pages, summary of past and planned research activities)
* Teaching statement (1-2 pages, description of teaching experience, interests, and philosophy)
* Diversity statement (1-2 pages, description of interest and experience in cultivating a diverse and inclusive environment)
* Curriculum vitae
* Names, addresses (including e-mails), and telephone numbers of three academic / professional references.
Requests for information may be directed to Dr. Alexander Lerch, Chair of the School of Music Faculty Search Committee (alexander.lerch(a)gatech.edu). Applications will be considered beginning November 1, 2018, but the search will continue until the positions are filled. An earned doctorate is required by the start of the appointment, and a background check must be completed prior to employment.
Georgia Tech is an equal education/employment opportunity institution dedicated to building a diverse community. We strongly encourage applications from women, underrepresented minorities, individuals with disabilities, and veterans. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
2 years, 7 months
Survey on Live Code language design for Machine Learning and Machine Listening
by thor list
Hi all,
As part of our MIMIC project (Musically Intelligent Machines Interacting Creatively) we are running a survey in order to help us designing a domain specific live coding language for the application of machine listening and machine learning techniques to music creation.
We would be very interested in learning from your experience and views regarding the relationship between programming language design and machine learning/machine listening, and would be grateful if you would consider filling in the following survey:
https://goo.gl/forms/hTWMC9YhrnTgmRBT2
We will be sharing the tools that we build, and there is more information to come about that, but since we have just started the project and the website is not up yet, you can read about the project here:
https://gtr.ukri.org/projects?ref=AH%2FR002657%2F1
Looking forward to hearing from you,
Thor Magnusson and Chris Kiefer
Experimental Music Technologies Lab
University of Sussex
2 years, 7 months