| Dear all, Please excuse us for the corss-posting of this call … We are looking for a postdoctoral researcher for the following position. Kindly forward it to your colleagues and potential candidates. A PDF version of the offer is also attached herewith. |
Robust biometrics (face authentication) under spoofing attacks on mobile platforms The L3i lab of the University of La Rochelle (France) is looking for a talented young researcher to join a team working on mobile authentication using identity documents capture and video interaction. You will work closely with approx. 8 persons (professors, associate professors, software engineers, postdoctoral researchers and PhD students) in 2 labs and 2 companies to design, prototype, evaluate and disseminate a new solution for the robust distant authentication of individuals using identity document scans and a live video session. Context As part of the MOBIDEM project (“Mobile Identity for the Masses”), which aims at lowering the barrier for the acquisition of digital certificates for online signatures, the L3i is in charge of conceiving and developing an efficient and effective solution for the authentication of individuals during the creation of the digital identity. This projects involves two industrials and another academic lab, and will lead to new solutions to build online trust. The MOBIDEM project is funded by the French government. Working environment The L3i lab (“Image Interaction Informatics”) is the ICT research component of the University of La Rochelle, France. Located on the seaside in one of the most touristic cities in France, the L3i lab has grown a solid experience in collaborative research projects with many academics labs and industrial partners. The L3i lab has a huge team of researchers (postdocs, software engineers, professors), who have been working on R&D projects in the domain of document image analysis (DIA). The L3i lab has several state of the art document scanners and sophisticated equipment for conducting high quality research. Composed of a hundred staff members, we value scientific excellence, initiative, and cooperation. Practical information • Duration: 1 year (renewable for 1 extra year) • Salary and benefits: starting at €2000 per month after tax, regular French health care, 25+ days annual leave • Starting date: before dec. 2016 • Position open until : sept. 2016 Expected qualifications and skills • PhD in Computer Science, Mathematics, or other relevant field with a sound publication record • Experience in biometrics, ideally in face recognition / authentication • Proficiency in C/C++/Matlab/OpenCV and/or Scientific Python • Strong mathematical knowledge • Experience in collaborative academic / industrial projects is a plus • Experience in machine learning and computer vision in general • Very good communication skills in English, both spoken and written • Speaking French is a plus, willingness to learn is expected otherwise • Experience in video processing is a plus • Experience with one or more deep learning framework would be greatly appreciated • Willingness to prototype with mobile devices • Highly motivated and enthusiast • Autonomous and problem-solver • Team-player For more information about the position, please contact:muriel.visani(at)univ-lr.fr, joseph.chazalon(at)univ-lr.fr and muhammad_muzzamil.luqman(at)univ-lr.fr To apply, please: • Your contact information (name, email, address with country) • A resume with relevant experience (1 or 2 pages) • A cover letter presenting key skills and motivations • 2 references (letters if possible, names and contacts at least) • [optional, if available] reviews of the PhD thesis by recognized scholars • [optional but well received] short summary of research project sincerely, -Muzzamil |
mobidem_postdoc_offer_biometrics_v3.pdf
Description: Adobe PDF document
Muhammad Muzzamil LUQMAN (Ph.D.) Ingénieur de Recherche / Research Engineer muhammad_muzzamil.luq...@univ-lr.fr https://sites.google.com/site/mmluqman/ Laboratoire Informatique, Image et Interaction (L3i) Université de La Rochelle Avenue Michel Crépeau 17042 La Rochelle cedex 1 l3i.univ-larochelle.fr |
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