Dear all,
We are happy to announce several Doctoral
and Postdoctoral Research Fellowships at the new RITMO Centre
for Interdisciplinary Studies in Rhythm, Time and Motion at the University
of Oslo:
Doctoral
Research Fellowships in Artificial Intelligence on
Musical/Human/Robotic Rhythm (1-2 positions)
The PhD fellow(s) will
carry out research on artificial intelligence methods to be
used in (1) the analysis of human/musical rhythm and/or (2)
synthesis of rhythms in robotic systems. The project(s) may
therefore range from focusing more on theoretical development
and computer-based testing, to focusing more on developing
machine systems (simulation and robots) that can interact
rhythmically with each other and with humans
Doctoral
Research Fellowship in Rhythm and Musical Form
The PhD fellow will carry
out research into the ways in which rhythm can work as a means
of representing processes that stretch far beyond the human
‘now’ in large-scale orchestral works (thirty minutes or
more). The aim is to study the constant structuring and
restructuring that takes place in the mind of the perceiver,
encompassing moments of perception (in the ‘now’), projection
(of future events) and retention (of past events) in the
mental mapping of large-scale musical patterns.
Doctoral
Research Fellowship in Musical Microrhythm in Jazz
The PhD fellow will
conduct research into musical microrhythm, with a particular
focus on the interaction of sound-related and temporal
features of sound at the micro level of music performance in
jazz and jazz-related musical styles. Qualitative interviews
will be combined with music analysis (auditory,
transcription-based and/or using computers), as well as
perspectives from music cognition/psychology.
Doctoral
Research Fellowship in Rhythm in Sample-based Music
The PhD fellow will
conduct research into rhythm in hip-hop music, with a focus on
sampling and the ways in which sound manipulation and editing
operations affect our experience of rhythm and groove.
Qualitative interviews will be combined with music analysis
(auditory, transcription-based and/or using computers), as
well as perspectives from music cognition/psychology.
Postdoctoral
Research Fellowship in Machine Learning on Time Series
Data
The postdoctoral fellow
will carry out research on novel machine learning methods for
the analysis of time series data relevant for RITMO. This
includes a large range of different data types, including
audio/video recordings, data from motion and eye tracking
systems, physiological sensors, and brain imaging.
Postdoctoral
Research Fellowship in Music Information Retrieval
The postdoctoral fellow
will carry out research in music information retrieval on
audio recordings, with a particular focus on temporal/rhythmic
structures of large-scale musical works. It will also be
relevant to combine audio-based analyses with musical score
analysis and multimodal analysis of human time series data.
Postdoctoral
Research Fellowships in Neuroimaging (1-2 positions)
The postdoctoral fellow(s)
will carry out research on the neural mechanisms and systems
that support and enable rhythm perception and production in
the human brain. Methodologically, the appointed candidate(s)
will be involved in subprojects using scalp
electroencephalography (EEG) and/or invasive
electrocorticography (ECoG), or fMRI concurrent with cognitive
experiments.
RITMO is a new Centre of Excellence funded by
the Research Council of Norway. All RITMO researchers will be
co-located and work in a unique interdisciplinary
constellation, with world-leading competence in musicology,
psychology and informatics. Read
more about RITMO.
Application deadline: 31 January 2018
Contact: Head of Administration
Ancha Wesnes
Please circulate through your networks and
forward to relevant candidates. Apologies for cross
posting.
Best,
--
Alexander Refsum Jensenius, Ph.D.
Assoc. Professor, Department of Musicology, University of Oslo
http://people.uio.no/alexanje/
Deputy Director, RITMO Centre for Interdisciplinary Studies in
Rhythm, Time, and Motion
http://www.uio.no/ritmo
New book: "A NIME Reader"
http://link.springer.com/book/10.1007/978-3-319-47214-0
New master's programme: "Music, Communication & Technology"
http://www.uio.no/mct-master