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Annonce

20 novembre 2017

Postdoctoral/engineer positions on deep learning for ocean remote sensing data, Lab-STICC, IMT Atlantique, Brest


Catégorie : Post-doctorant


Positions: two 18-month positions in Lab-STICC Signal Processing and Remote Sensing group (TOMS) at IMT Atlantique, Brest

 

Supervisor: Ronan Fablet, Professor IMT Atlantique, Lab-STICC/TOMS, ronan.fablet@imt-atlantique.fr, https://www.researchgate.net/profile/Ronan_Fablet

Context and objectives

The signal processing and remote sensing group of LabSTICC laboratory at IMT Atlantique, Brest, France (www.imt-atlantique.fr) is seeking two post-doctoral or engineer fellows on deep learning for ocean remote sensing data in the framework of two collaborative projects:

Beyond the specific objectives assigned to each position, the successful candidates will benefit from and contribute to the ongoing research activities of our group on learning-based and data-driven strategies for ocean remote sensing data for ocean monitoring and surveillance with strong interdisciplinary interactions with marine science (physical oceanography, marine ecology, fisheries science...) and industrial partnerships (e.g., CLS, CNES, ODL, iXblue)

Additional Information on our ongoing research may be found at http://www.imt-atlantique.fr/en/person/ronan-fablet.

Requirements

Candidates will have a Ph.D in signal/image processing, applied statistics or machine learning. Applications of candidates with a MSc./engineer degree and a strong potential for research will also be positively considered. Previous experience in deep learning and the processing of remote sensing data would be a plus. Candidate should have a strong interest and commitment to research. Creativity with an aim towards independent research is highly emphasized.

Application

Send CV, statement of research interests and the contacts of at least two references to Prof. Ronan Fablet (ronan.fablet@imt-atlantique.fr). Review of applications will begin immediately and continue until the position is filled.

Additional information

Expected starting date: Early 2018

Duration: 18 months

Salary: monthly net salary of about 2500€ (including mean annual bonus) will be adjusted according to experience and qualification.

 

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