- From: Sebastien Ferre <Sebastien.Ferre@irisa.fr>
- Date: Wed, 15 Apr 2015 09:17:33 +0200
- To: semantic-web@w3.org
** apologies for multiple copies ** Postdoctoral position on "knowlege-based inference for ID document recognition" - in IDFRAud ANR project (Identity Document Fraud Detection and Profiling) - at IRISA, Rennes, France Keywords: knowledge management, inference systems, Semantic Web, document recognition * Context * The IDFRAud project aims at the automatic recognition of ID documents, and the detection of ID frauds. Semantic Web technologies will be used to acquire, organize, and exploit detailed knowledge about hundreds of ID document models from all countries (e.g., French driving license, German passport, Spanish ID card). That knowledge will be the basis for the automatic recognition and fraud detection of ID documents from scans taken under different wavelengths (e.g., ultraviolet). The recognition includes identifying the ID model (e.g., French ID card), extracting useful information (e.g, holder name), and performing security checks (e.g., UV features). * Subject * The first task of the postdoctoral researcher will be to contribute with other participants of the IDFRAud project in the development of the knowledge base of ID models. A first version will exist at the beginning of the postdoc. The second and main task will be to work on the problem of the automatic recognition of ID documents given the knowledge base of ID models, and a collection of ID document analyzers. A first objective is to find a way, based on the knowledge base, to coordinate calls to those analyzers in order to infer as much as possible information about an ID document, and in particular to detect ID fraud. A second objective is to compile the inference process into a lightweight executable program that can perform recognition offline, without access to the knowledge base. The aspects related to image analysis and information extraction will be handled by another postdoctoral researcher working on the project. * Profile * Applicants should have recently obtained a PhD degree, and show strong motivation and research potential. Applications should include a one-page motivation letter, a detailed CV with publication lists and participations to projects, and 2-3 significant published papers. Mandatory requirements for applicants: 1. PhD in Computer Science 2. Experience in - Semantic Web technologies (RDF(S), SPARQL, triple stores) - inference/rule systems 3. Programming skills to ensure autonomy in completing the technical tasks of the project Optional requirements: - generation/transformation of inference rules or programs Starting date: September 2015 - January 2016 Duration: up to 24 months Working environment: in Rennes, at the IRISA laboratory, in the LIS team Salary: gross salary 2600€ (net income: approximately 2100€) Contact: Sébastien Ferré <ferre@irisa.fr>, Peggy Cellier <cellier@irisa.fr> Web: http://www.irisa.fr/LIS/
Received on Wednesday, 15 April 2015 07:17:19 UTC