Ph.D./Early Stage Researcher (ESR9) position in Computer Vision
TheFrenchUniversityof Burgundy (also called Bourgogne) inDijon (http://en.u-bourgogne.fr), part of the University of Burgundy Franche-Comté Community (http://www.ubfc.fr/ubfc/presentation/ ) invitesapplicationsfor 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).
Thepositionwill belocatedatthe 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/.
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)
Qualifications required for the announced position:
The candidate must:
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:
Eligibility for admission will be determined by considering the combination of the candidate’s academic qualifications and relevant professional experience according to the table below.
Candidates who have completed their Master degree in an institution where English is not the language of instruction must present one of the following Secure English Language Test (SELT) results as follows:
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement.
Please note there are strict eligibility requirements that apply to all Marie Skłodowska-Curie Researchers:
Theuniversityiscommitted toapolicyofequal opportunity inemploymentpractices,andwewouldparticularlyliketoencouragefemale candidatestoapply.
ApplicantsmustbequalifiedforadmissionasPhDstudentsatUniversity of Burgundy Franche -Comté.See http://en.collegedoctoral.univ-bfc.frfor informationabout PhDstudies atUBFC.
PhD candidates are normally remunerated at gross from 32100€ per annum. Reimbursment of home-work charges is possible as well as a family supplement (SFT).
In addition, there will be a mobility allowance at gross 5076€ and family allowance 4224€ per annum.
Eligibility for receiving family allowance depends on the family status when the contract starts.
The period of employment is 3 years. Appointment to a PhD position requires admission to the PhD programme in Computer Science. As a PhD candidate, you undertake to participate in an organized PhD programme during the employment period. A condition of appointment is that you follow the entire programme (about 100hours over three years).
Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.
Living and working in Dijon
Information can be found via the following links:
about the region Bourgogne Franche-Comté: https://en.bourgognefranchecomte.com/
About Campus of Dijon: http://en.u-bourgogne.fr/life-on-ub.htmlhttp://www.u-bourgogne.fr/vie-des-campus/campus-de-dijon.html
Send an email with explicit subject (e.g Application for ITN-CHANGE-ESR9) containing all required documents (cf. application components above) compiled in one PDF file to the email addresses (firstname.lastname@example.org email@example.com ). Candidatesmust submitthefollowingdocumentsinelectronicform:
For additional information about the research project, contact:
Application deadline: 15 February 2019 Starting date: September 2019
(c) GdR 720 ISIS - CNRS - 2011-2018.