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Postdoctoral Fellowship in Semiotics of Image Fraud Detection

Normandy University (UCBN France) CNRS GREYC Laboratory 

Application deadline: 15.07.2013 (11:59 pm GMT) 

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POSITION ANNOUNCEMENT
Post-Doc position in the DOCSCOPE project at the National Center for
Scientific Research (CNRS) GREYC Laboratory, Caen, Normandy, France.
Duration: 12 months
Application deadline: 15.07.2013 (11:59 pm GMT)
The Human Language Technology team (HULTECH) proposes a Post-Doc
fellowship within the context of the newly started DOCSCOPE project (ANR
label) at the CNRS GREYC Laboratory for high standard candidates with a
Ph.D. degree in Computer Science or Electronic Engineering.

POSITION
The DOCSCOPE project aims to contribute to the identification of
falsified documents by developing new methods to detect directly visible
or hidden visual clues using new technologies of documentary image
processing.
The exploitation of the results (revealing incoherence, alterations,
fraudulent modifications, doctored photographs, etc.) also integrates an
interpretation phase, which makes it possible to specify the
significance of changes, or the meaning of whatever manipulations have
been detected. Research stemming from Semiology (or Semiotics) and
particularly work applied to image analysis, document analysis or text
as image have obviously their role to play in the global DOCSCOPE
procedure. Within this project, the analysis is not dependent on
comparison with an annotated database, but relies on careful induction
from sets of clues.
The successful candidate is expected to work in collaboration with other
researchers, programmers, and students involved in the project in an
interdisciplinary team, and to collaborate with the research units
involved in the project.


JOB REQUIREMENTS
- Ph.D. degree in Computer Science or Electronic Engineering; 
- Theoretical background in Natural Language Processing, Text Mining or
  Information Retrieval; 
- Ability to carry out a research program and keep deadlines; 
- Ability to work in a collaborative research environment; 
- Oral and written proficiency in English. 

OPTIONAL REQUIREMENTS: 
- Ph.D. or experience related to forgery / cheating / falsification; 
- Experience with practical applications; 
- Soft skill (e.g., communication, team building, problem solving,
  etc.);
- Oral and written proficiency in French;
- Background in Linguistics, Philosophy or Semiotics.

EMPLOYMENT
- Type of contract: Research position - Full time 
- Number of positions: 1 
- Net salary: 1900 euros/month. 
- Start date: ideally 1st September 2013 
- Duration: up to 1 year 
- Workplace: University of Caen-Basse-Normandie (UCBN), UFR Sciences,
  Caen, France

APPLICATION
To apply online, please send your detailed CV including a statement of
interest and the contacts of three reference persons. The applicant must
also attach his/her Ph.D. Certificate and a list of any publications,
certificates or other qualifications (if any) considered relevant for
assessing the candidate's abilities in relation to this Call.
IMPORTANT: All these documents must be sent as PDF files in a single
zipped folder.

Please note the candidate must state the following information clearly,
precisely and under his/her own responsibility, in the application:
- Personal information: date and place of birth, nationality, residence
  and contact address during the selection procedure;
- Citizenship: applicants who are citizens of a country that is not a
  European Union Member State must already possess or at least have
  requested a Work Residence Permit. This requirement is not mandatory
  for the current application, but if the Residence Permit or related
  requests are not presented at the time the contract will be
  stipulated, all the related rights will be forfeited;
- Doctoral Degree.

Emails should have the following reference code: DOCSCOPE_PostDoc2013 
Applications must be sent to Serge Mauger (serge.mauger@unicaen.fr) and
Gaël Dias (gael.dias@unicaen.fr).
 
Application deadline: 15.07.2013 (11:59 pm GMT).
 
Only applications received before the aforementioned deadline will be
considered.

For further information, please feel free to contact Serge Mauger
(serge.mauger@unicaen.fr)  or Nadine Lucas (nadine.lucas@unicaen.fr) or
Pierre Beust (pierre.beust@unicaen.fr) or Gaël Dias
(gael.dias@unicaen.fr).

Nadine Lucas, CR HDR
Equipe Human Language Technologies (HULTECH)