Becas doctoral y post-doctoral en fuentes medievales (CESEM-Lisboa)

Centro de estudios de sociología y estética musical

A partir de septiembre, Manuel Pedro Ferreira (CESEM/Faculdade de Ciências Sociais e Humanas-Universidade Nova de Lisboa: mpferreira@fcsh.unl.pt) participará en el proceso de asignación de becas doctoral y post-doctoral para solicitudes de becas para  jóvenes investigadores con experiencia previa con fuentes medievales, cuyos objetivos (estudio de los tipos de canto, notación, correspondencias internacionales, etc) estén relacionados con los contenidos y el desarrollo de Portuguese Early Music Database (www.pemdatabase.eu) o con el análisis de las características específicas de las Cantigas de Santa Maria.

El periodo de solicitud está abierto hasta finales de septiembre. El proyecto se desarrollará en el CESEM (Lisboa, Portugal). Más información:
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Beca PhD de la Universitat Pompeu Fabra: “Audio-Visual Approaches for Music Content Description”

Music Technology Group Universitat Pompeu FabraEl Music Technology Group y el Image Processing Group del Departamento de Tecnologías de la Información y la Comunicación (Universitat Pompeu Fabra) ofrece una beca doctoral para el tema “Audio-Visual Approaches for Music Content Description”, que se iniciará en otoño de 2014. 

Music is a highly multimodal concept, where various types of heterogeneous information are associated to a music piece (audio,musician’s gestures and facial expression, lyrics, etc.). This has recently led researchers to apprehend music through its various facets, giving rise to multimodal music analysis studies.
The goal of this fellowship is to research on the complementarity of audio and image description technologies to improve the accuracy and meaningfulness of state of the art music description methods. These methods are the core of content-based music information retrieval tasks. Several standard tasks could benefit from it: Structural analysis and segmentation, Discovery of Repeated Themes & Sections, Music similarity computation and music retrieval, Genre / style classification, Artist identification and Emotion (Mood) Characterization.

Applicants should have experience in audio and image signal processing, and hold a MSc in a related field (e.g. telecommunications, electrical engineering, physics, mathematics, or computer science). Experience Pompeuin scientific programming (Matlab/Python/C++) and excellent English are essential. Musical background and expertise on multimedia information retrieval will be considered.
The grant involves teaching assistance, so interest for teaching is also valued.
Application:
Interested candidates should send a CV and motivation letter to Prof. Emilia Gómez (emilia.gomez@upf.edu) and Prof. Gloria Haro (gloria.haro@upf.edu) and include in the subject [PhD Audio-Visual]. They will also have to apply to the PhD program of the DTIC of the UPF

Fin de recepción de solicitudes: 1 de septiembre de 2014
Fecha de inicio de la beca:  15 de octubre de 2014
Más información:
http://www.upf.edu/dtic_doctorate/
http://www.upf.edu/dtic_doctorate/phd_fellowships.html
http://mtg.upf.edu
http://gpi.upf.edu

Vía OFER-TRABEC del Centro de Comunicaciones RedIRIS

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