Post-Doctoral Positions at the University of Victoria, Canada

[George Tzanetakis <gtzan@xxxxxxxxxx>]

1)
University of Victoria, Canada
1 year Postdoctoral position in Signal processing and Machine Learning
for analysis of marine mammal vocalizations

Start date negotiable between January and September 2010 and continuing 
for 12 months after the start date. This position is funded by a grant 
from CANARIE,
Canada. We are interested in exploring the detection and classification 
of marine mammal sounds and other underwater sounds. We have access to 
continuous
streams of hydrophone data from the Venus and Neptune underwater cabled 
observatories, as well as 30 years of recordings of Orca vocalizations
(http://orchive.cs.uvic.ca). The challenge will be to develop highly 
adaptable and flexible algorithms and software tools to extract 
information of interest from the continuous
large datasets.

Candidates are expected to have or be close to obtaining a PhD degree in 
a relevant field. Strong signal processing and machine learning 
background is important as
well as strong programming skills. We are particularly interested in 
candidates with experience in Music Information Retrieval and/or 
Bioacoustics.

Inquiries and CVs should be addressed to Prof Peter Driessen 
(peter@xxxxxxxxxxx) and Prof George Tzanetakis (gtzan@xxxxxxxxxx).
Salary will be in the range $CDN 40—50K, depending on qualifications.

2)
University of Victoria, Canada
1 year Postdoctoral position in Musical robotics, Signal processing and 
Machine learning

Start date negotiable between January and September 2010 and continuing 
for 12 months after the start date. This position is funded by a 
NSERC-CCA New Media
Initiative grant. We are interested in building systems for musical 
robots to perform on stage, reacting, and improvising with human 
musicians in real-time.
Our plans include designing and building robotic musical instruments, 
real-time extraction of a composite representation of performers' 
musical gestures
from the fusion of multiple sensor and audio streams, machine learning 
to distill gestural data into higher-level musical understanding and to 
allow the robot's
responses to evolve based on what it "hears", and integration of all of 
the above into innovative multimedia compositions and improvised musical 
performances
on stage. Our goal is not merely to produce another robotic instrument 
to play notes under direct external control, but to produce a robotic 
musician that in
some sense can hear, understand, and react to a human performer in 
real-time, grounded in a representation of specific musical knowledge from
Indian, African, Cuban, and Western "art music" cultures.

Candidates are expected to have or be close to obtaining a PhD degree in 
a relevant field. They are expected to have a strong musical, 
mechanical, signal processing and machine
learning background, and excellent programming and/or mechanical skills. 
Inquiries and CVs should be addressed to Prof Peter Driessen 
(peter@xxxxxxxxxxx) and Prof George Tzanetakis (gtzan@xxxxxxxxxx). 
Salary will be in the range $CDN 40—50K, depending on qualifications.


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