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Annonce

6 juin 2018

Postdoc position 6 months Deep Learning / PDE at CNRS UMR6072 GREYC, Caen, France


Catégorie : Post-doctorant


The AIMS project (http://aims.sinay.fr/) addresses Big data technologies for real time monitoring of the environmental impact of offshore human activities. Among others, AIMS is investigating new efficient ways for the analysis of the acoustic pollution. For the moment being, simulating sound pollution starting from boat locations (obtained through the Automatic Identification System) requires long computations solving partial differential equation (PDE) such as the Helmholtz one. The aim of this project is to study how deep learning techniques can speed up these long computations.

 

Postdoc position : 6 months

The AIMS project (http://aims.sinay.fr/) addresses Big data technologies for real time monitoring of the environmental impact of offshore human activities. It consists of building an integrated system for monitoring offshore human activities to assess the impact of these activities on marine fauna, and especially on marine mammals. The whole system is built around big-data technologies and aims to use benefits of such technologies to collect and analyze all possible data related to the marine environment and the offshore human activities.

Among others, AIMS is investigating new efficient ways for the analysis of the acoustic pollution. For the moment being, simulating sound pollution starting from boat locations (obtained through the Automatic Identification System) requires long computations solving partial differential equation (PDE) such as the Helmholtz one. The aim of this project is to study how deep learning techniques can speed up these long computations.

The candidate will mainly have to:

  1. simulate wave equations based on PDE
  2. study how deep learning can be used to solve these PDE
  3. work in the context of bio-acoustics / marine data.

Expected profile

To apply, send an email before June 30th, including a motivation letter, a CV, copies of diplomas, contact details of referees. For more information about this position, please contact François Rioult (francois.rioult@unicaen.fr).

 

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