Connectionists: Phd and Postdoc positions in Deep Learning for Bio-Soundscape Representation

Herve Glotin h.glotin at gmail.com
Wed Sep 14 04:00:58 EDT 2016


Hi there,

CNRS - french research center - is opening at LSIS Toulon
2 positions in Deep Learning in fall 2016:

1 PHD =
'DEEP LEARNING FOR NON HUMAN BIOACOUSTICS, applied to AUTOMATIC SPECIES
IDENTIFICATION'


18 months+ POSTDOC =
'DEEP LEARNING for TRACKING OF ACOUSTIC SOURCES, applied to SUBMARINE
BIOACOUSTICS'

In both grants, the goal of your research will be to improve the current
performance of soundscape / bioacoustic pattern detection and
classification, at low signal to noise ratio. The objectives here are
three-fold: (a) to make the signal representation more robust, (b) to
develop classification model more efficient on complex bioacoustic
patterns, with supervised and/or unsupervised approaches, and (c) to manage
and collect large training data to better model the variability of object
categories within terrestrial and/or submarine environments.

The usual representations are based on Fourier descriptors, but have
limits. We design mid-level or high-level features based on time-frequency
segmentation, wavelet and discrete decomposition, compress sensing, non
parametric bayesian representation, while developing specific CNN / LSTM
Deep Representation Learning.

The validation of the models are conducted on real complex soundscape
analyses, from cetaceans to birds songs, from bats to dolphins biosonars...
It can also include anthropic target. You'll be involved into citizen
program, including associations on biodiversity / bird conservation. You'll
be working on smartphone systems to integrate the software solution (online
or deported).

YOUR PROFILE:
Machine learning / Data Science or Applied Mathematics / Computer Science,
or Electrical Engineering / Signal Processing,
Solid mathematics knowledge (especially linear algebra and statistics),
Creative and highly motivated, good programming skill (Python, Matlab,
C...), Smartphone applications


LOCATION:
University of Toulon, in the CNRS lab LSIS that is heading the SABIOD.org
international project. Toulon campus provides scientific facilities and is
located in the beautiful Provence area. LSIS lab actually gathers 260
researchers professors and PhD students in computer science, signal
analysis and pattern recognition.
Your research will be conducted within collaborations, like National Parks
(Port-Cros, La Reunion, Alpin integral reserve...), international labs
(CIBRA in Pavia univ., Brisbane univ. in Australia, Cornell univ. USA,
Berlin Museum, Victoria univ. Canada, Queen Mary UK, Santiago univ,
Chili...). LSIS-DYNI chaired several workshops on machine learning meetings
bioacoustics at ICML 2013 and 2014, NIPS 2013, and ICDM 2015.

SUBMIT YOUR APPLICATION (A SINGLE .PDF) OR INFORMAL INQUIRIES TO:
Pr. Glotin (director): glotin at univ-tln.fr, h.glotin at gmail.com
Screening of applications begins in mid sept 2016.
Application materials should include a CV (university grades, honors /
awards, brief statement of research interests, contact details of 2
referees), + 1 or 2 work samples, anything that is genuinely the own work
of the applicant (e.g. thesis, computer code, web site demo, research
manuscript / essay).

Details / URL =
http://sabiod.univ-tln.fr/jobs.html

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