Annonce en lien avec l’Action/le Réseau : aucun
Laboratoire/Entreprise : Image et Vision Artificielle (ImViA) ex LE2I
Durée : 36 mois
Contact : alamin.mansouri@ubfc.fr
Date limite de publication : 2019-03-30
Contexte :
The French University of Burgundy (also called Bourgogne) in Dijon (http://en.u-bourgogne.fr), part of the University of Burgundy Franche-Comté Community (http://www.ubfc.fr/ubfc/presentation/ ) invites applications for 3-year full time PhD/Early Stage Researcher (ESR9) position in Computer Science in the context of the EU- Funded Marie Sklodowska-Curie Initial Training Network (ITN) project entitled Cultural Heritage Analysis for New GEnerations (CHANGE) (www.change-itn.eu).
The position will be located at the Laboratory ImViA (Image and Artificial Vision ex-LE2I (www.le2i.cnrs.fr) based at the High School ESIREM in Dijon.
The recruited researchers will work in a high-level international research environment within the Laboratory ImViA, at the premises of University of Burgundy, and in close collaboration with other researchers from the CHANGE network. During the 36-month contract, the PhD candidate will spend maximum of 10 months in secondments/internships to the other project partners. The candidate should enroll in a PhD program, and also participate in a rich program of organized research training activities, enabling her/him for a future career as scientist, engineers, entrepreneurs and innovators who can assume scientific and technological leadership in the field of visual computing, imaging techniques and conservation science.
The recruited candidates will work on distinct but related fields of research within the CHANGE project. The position and a brief description of the research in this position is given below. The position description is also available on the project website http://www.change-itn.eu/
More information on the attached document
Sujet :
Position description: Could the appearance changes be linked to the defects in geometry? Is this dependent on the scale? How a change in local geometry is perceived photometrically by a human subject. These are the underlying questions of this research. The candidate is expected to work towards the development of innovative methods devoted to link the visual appearance change assessment with geometric attributes based on imaging and Machine Learning approaches. During the research, the candidate will 1) Investigate the relation between changes in appearance and its underlying geometric mechanisms 2) Surface roughness reconstruction by combining stereo-photometry and ‘Shape From Focus’ 3) Local and global singularities detection on 3D surfaces with impact on photometric attributes and global appearance 4) Model and reverse-model of the link between surface 3D and appearance through photometric attributes. In parallel the candidate will explore and implement Machine Leaning/Deep learning approaches for surfaces‘ appearance characterization without a priori models.
Main supervisor: Alamin Mansouri (University of Bourgogne)
Co-supervisors: Robert Sitnik (WUT, Poland), Clotilde Boust (C2RMF, Louvre Museum, France)
For more information please consult the attached document
Profil du candidat :
The candidate must:
Hold a Master’s degree (or equivalent) within the field of computer science, physics, colour imaging, physics, electrical engineering or a related discipline obtained with very good final grade (with an average grade of B or better).
Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.
The following is desired:
Knowledge and experience with computer vision, physics.
Knowledge and experience with control and automation,
Programming skills in Matlab, Python, or similar programming environments
For more information please consult the attached document
Formation et compétences requises :
More informations about formal regulations, salary and mobility are detailed on the attached document
Adresse d’emploi :
ImViA Laboratory
Bâtiment I3M
Avenue Sully
21000 Dijon
Document attaché : CHANGE-ESR9.pdf