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PhD position in collaborative musical creativity at the University of Music and Performing Arts Vienna, Austria
A PhD position is available with the Institute of Music Acoustics (IWK) at the University of Music and Performing Arts Vienna and the Intelligent Music Processing and Machine Learning Group at the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna, Austria.
The successful candidate will work on a 2.5-year project entitled “Coordination and Collaborative Creativity in Music Ensembles”, funded by the Austrian Science Fund (FWF) and led by Dr. Laura Bishop (OFAI) in collaboration with Assoc. Prof. Werner Goebl (IWK). The project will employ motion capture and eye-tracking techniques and human-computer interaction paradigms to identify the cognitive mechanisms underlying musical creativity in groups. The candidate will be responsible for implementing developments to our musical accompaniment system and running experiments to test human-computer musical collaboration.
The expected starting date is October 1, 2016. The salary will be 28,631.40 Euro/year (before tax) in accordance with FWF regulations.
Applicants must have a master’s degree in computer science, experimental psychology, systematic musicology, or a related field. Expertise in programming (especially JAVA) and a musical background (performance and/or theory) are essential. Experience with empirical research and statistical analysis is preferred. Applicants must demonstrate professional competence in English; knowledge of German is an asset but not required.
The University of Music and performing Arts Vienna is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply.
The deadline for applications is September 11, 2016. Applications should include a covering letter describing your qualifications and interest in the research topic, a CV, and contact details for two referees. Please send application documents as a single pdf to Dr. Laura Bishop (email@example.com).
Ph.D. opportunity: Cross-species studies of auditory processing
Profs. Aniruddh Patel (music cognition) and Mimi Kao (neural basis of sensorimotor learning in songbirds) are seeking a Ph.D. student to bridge their labs at Tufts University, to investigate behavioral and neural aspects of rhythmic and melodic processing in birds and humans.
This work would be conducted in a dynamic research environment with opportunities to interact with researchers in cognitive science, neurobiology, and engineering/computer science. Patel’s lab is in Psychology, and Kao’s is in Biology.
The Ph.D. position is in the Tufts Psychology Department (application deadline Dec 15th). The candidate should have strong quantitative skills, an interest in auditory or auditory-motor processing, and prior research experience with animal cognitive or neurobiological research. Prospective candidates are strongly encouraged to send a CV, short bio, and contact information for three references to Profs. Patel (a.patel <at> tufts.edu ) and Kao (mimi.kao <at> tufts.edu) prior to applying.
Application information: https://ase.tufts.edu/psychology/graduate/phd.htm
PhD position on Computational music structure analysis at Utrecht University
This is the first call for the opening of a PhD position on computational music structure analysis at Utrecht University, to start within the next 6 months. Please spread the word to potential candidates!
Position: 4 years appointment for fully funded PhD position
Research topic: A functional model of music structure analysis
The goal of this research in the area of Computational Music Structure Analysis is to model the interplay of different musical dimensions for uncovering the relevant constituents of musical structure, using modern functional programming languages such as Haskell. Functional programming languages provide abstract and efficient ways to model musical concepts and transformations defined by induction on musical structure, and facilitate the exploration of functional composition of the elements that constitute top-down and bottom-up processes that induce musical structure. The functional model of musical structure will be applied to music similarity as researched in Music Information Retrieval and Computational Music Analysis, for the comparison of pieces within and across musical styles.
Requirements: Candidates must have a masters degree in Computer Science, Information Science, Artificial Intelligence, Mathematics, Humanities Computing, or any other relevant discipline, with knowledge in functional programming, as well as proven affection with and knowledge of music (notation, basic theory).
Contact: The PhD will be supervised by Anja Volk and Wouter Swierstra at the Department of Information and Computing Sciences, Utrecht University. For more information on the project please contact Anja Volk, email: a.volk <at> uu.nl (out of office July 13 – August 7, please contact Vincent Koops at h.v.koops <at> uu.nl during that time) and Wouter Swierstra, email: w.s.swierstra <at> uu.nl
BRAMS- Position available in Auditory Neurocognition
The Département de psychologie is seeking applications for a full-time Professor position without any rank restriction in Auditory neurocognition. Starting date: On or after June 1st, 2017.
Le Département de psychologie sollicite des candidatures pour un poste de professeure ou professeur à temps plein sans restriction de rang en Neurocognition auditive. Entrée en fonction: Le ou après le 1er juin 2017.
For more information about the position, please contact Isabelle Peretz.
Pour plus d’informations sur le poste, veuillez communiquer avec Isabelle Peretz
isabelle.peretz <at> umontreal.ca