2018-00356 - Doctoral/Advanced super-resolution techniques for high quality scanned images
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD de la fonction publique

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

GeoStat projecting makes fundamental and applied research on new non linear methods for the analysis of complex signals and systems, using paradigms and tools coming from statistical physics.

Research themes

GeoStat's research thematics are centered on the following theoretical developments :

  • Multiscale methods developped in Physics for the analysis of complex systems,
  • Predictibility in complex systems,
  • Multiresolution analysis,
  • Analysis, classification, detection,

and the following applied objectives:

  • Analysis of complex and turbulent signals in earth observation, astronomy and remote sensing,
  • Digital implementation of adaptative optics in astronomy,
  • Analysis of biomedical signals.

International and industrial relations

GeoStat is working in close collaboration with the following teams:

  • Laboratoire d'Astrophysique de Bordeaux.
  • ICM-CSIC, Department of physical oceanography, Barcelona, Spain.
  • LEGOS Laboratory, UMR CNRS 5566, Toulouse, France.
  • Laboratory of theoretical physics and condensed matter University Paris 6, CNRS UMR 7600, Paris, France.
  • IRIT, UMR CNRS 5505, Toulouse, France.

Contexte et atouts du poste

Within the framework of a partnership

  • value-creation and technology transfer contracts with I2S (Innovative Imaging Solution) Company

 

Mission confiée

Geostat is an INRIA research team specialized in advanced signal and image processing. Geostat is associated with a world leader company in imaging devices, i2S (Innovative Imaging Solutions) in a InnovationLab starting in 2017. This PhD offer takes the form of a CIFRE funding where the applicant will work in close collaboration both with Geostat researchers and i2S engineers.

 

INRIA provides an unique context for research, equal opportunity environement.

Principales activités

In this thesis, the applicant will explore and develop different approaches for proposing efficient solutions to this problem of super-resolution, for instance and among others : optimization approaches (convex and non-convex), machine learning and deep learning approaches, etc.

Compétences

Applied mathematics/Physics or Computer science student with a good applied maths background (image processing, Fourier transforms, optimization technques). A good knwoledge of a computer langage is necessary.

Avantages sociaux

  • Subsidised catering service
  • Partially-reimbursed public transport

Rémunération

1982€ / month (before taxs) during  the first 2 years, 2085€ / month (before taxs) during the third year