- apologies for cross posting
- please, feel free to redistribute
Dear colleagues,
The MTG-UPF, in collaboration with BMAT <https://www.bmat.com/es/>,
starts a project funded by the Generalitat de Catalunya that will foster
research and development on psychoacoustics and computational modelling.
In the project we will address perceptual thresholds of music in
different audiovisual contexts. The project opens the possibility to
work for 2 years into the design and execution of: a) experiments with
human listeners; b) annotation campaigns to improve predictive
algorithms of human listeners perception of music in audiovisual
contexts; and c) predictive modelling of listening thresholds, under
different conditions, using deep learning. The overall required
dedication is 75% of a full-time schedule, but this amount of dedication
can be partially modulated according to the project and the candidate
requirements. We can also be flexible about the requirements of physical
presence although, ideally, the candidate should be able to work in
Barcelona, at the MTG. The MTG contribution will be supervised by
Perfecto Herrera with the collaboration of BMAT researchers and developers.
*Starting date: *April**2021
*Required skills/qualifications:*
We seek candidates with a background allowing them to carry on research
on perceptual processes in applied contexts and, additionally, their
computational modelling. Suitable degrees, among others, could be
Computer Science, Electrical, Audiovisual or Multimedia Engineering,
Psychology, Audiology, etc.
- Experience with Python and Git (or similar tools) - Ability to work
and deliver autonomously while being a part of a team
*Valuable skills/experience:*
- Master degree in Sound and Music Computing, Music Technology,
Psychoacoustics, or related field
- Experience designing and carrying out experiments involving human
subjects, online or on-site, and analysing their data
- Experience developing audio signal processing algorithms and deep
learning applications
- Experience in music or audio annotation campaigns involving human
listeners and massive collections of audio-visual recordings
- Experience in machine learning applied to audio
- Experience with deep learning libraries (PyCharm/Keras/TensorFlow)
- Experience using Essentia or similar audio analysis software
- Communicative skills
*ABOUT MTG:*
The Music Technology Group of the Universitat Pompeu Fabra is a leading
research group with more than 40 researchers, carrying out research on
topics such as audio signal processing, music information retrieval,
musical interfaces, and computational musicology. The MTG wants to
contribute to the improvement of the information and communication
technologies related to sound and music, carrying out competitive
research at the international level and at the same time transferring
its results to society. To that goal, and guided by ourvalues
<https://www.upf.edu/web/mtg/values>, the MTG aims at finding a balance
between basic and applied research while promoting interdisciplinary
approaches that incorporate knowledge from both scientific/technological
and humanistic/artistic disciplines.
*HOW TO APPLY?*
Interested people should send a resume as well as an introduction letter
to [log in to unmask]
<mailto:[log in to unmask]>
----
All models are wrong, but some are useful.
- George Box
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