Connectionists: Available Positions in Machine Learning for Soundscape Analysis

[Herve Glotin]

(Apologies for cross-postings - Please forward to whom it may concern)

Several positions are now available into the Scaled Acoustic
Biodiversity Project (http://sabiod.org/jobs.html) :

- PhD scholarships (with or without industrial collaboration),
- Internships (master...),
- Postdoc positions,
- Engineer positions.

The goal of these positions is to improve the current performance of
soundscape / bioacoustic pattern detection and classification, at low
signal to noise ratio, and/or into large data set (thousand of
species, To of .wav).

Thus, 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 but also
unsupervised approaches, and (c) to manage and collect additional
training data to better model the variability of object categories
(within some terrestrial or submarine recording experiments).
The frequent representations are either based on Fourier descriptors
or MFCC. However we design mid-level or high-level features based on
time-frequency segmentation, wavelet and discrete decomposition,
compress sensing, non parametric bayesian representation, CNN / DNN.

The validation of the models are conducted from cetaceans to birds
songs, bats to dolphins biosonars, from frogs to insects calls.
Biodiversity analysis and environmental care projects are some of the
direct outcomes of this research. You'll develop high level research,
and you may collaborate with some industry, which could afterward
offer you a permanent position in addition to academic opportunities.

* 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,...),
- Fluent in English, both written and spoken,
- Prior knowledge in the areas of pattern recognition is a plus.

* Duration:
Internship: 3-6-9 months,
Phd: 3-4 years,
Postdoc: 1-2 years,
Engineer: 1-2 years.
Start date: As soon as possible.
Internship candidate would continue with a PhD.

* Location:
Some of the current positions are available on the French Riviera,
university of Toulon - CNRS lab LSIS heading SABIOD, France. Your
research will be conducted within collaborations, like National Parks
(Port-Cros), international labs (in Italy, USA, Germany, Spain,
Canada, Australia, UK...), and may include outdoors signal experiments
on cetaceans, birds... Worldwide collaborations offers real
opportunities to travel (Reunion, New Caledonia, USA, Canada). One of
the position is related to La Réunion bioacoustic survey in Indian
Ocean, another one in Pacific Ocean.

* Application:
Please send your application via email to Pr Glotin, Sabiod PI, glotin
(at) univ-tln.fr, in one single .pdf file, including: your complete CV
+ grades during education (and for postdoc two of the main
publications) + at least on letter of reference.


--
Herve'   Glotin,   Pr.
http://glotin.univ-tln.fr        glotin at univ-tln.fr
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