[MEI-L] Job: Music Encoding

[Fabian Moss]

Hello everyone!

For a music-encoding project we are looking for someone to transcribe 368
examples from historical music theory textbooks to humdrum/**kern. The
examples vary in length, ranging between 2 and 20 measures (estimated). We
are able to pay 2000,- CHF (Swiss project) for this task. Here are two
examples:

[image: facs_66_Music_1614958470717_138.png]


[image: facs_23_Music_1614089062057_1227.png]

The catch is that we would need the transcriptions rather quickly, ideally
by the end of March (but this is negotiable). Preferably, we would like to
have a student do the job, so I'd like to ask you to distribute this among
your students. But, of course, post-graduates can also apply.

In case you are interested, please reach out to me *by February 28, 2022*
with a brief, informal description of your music encoding experience, your
current status (student, post-graduate) and affiliation.

Best wishes,
FabiaN


Fabian C. Moss
*Research Fellow in Cultural Analytics*

University of Amsterdam
Faculty of Humanities / Department of Media Studies
Data Science Centre

Room 3.08, BG1
Turfdraagsterpad 9
1012 XT Amsterdam
Homepage <https://fabian-moss.de/> | Twitter
<https://twitter.com/fabianmoss> | Zoom <https://uva-live.zoom.us/my/fmoss>
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