<html><body><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div><div><div><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class="">Title</strong>: Pushing the limits of reading performance screening with Artificial Intelligence: Towards large-scale evaluation protocols for the Visually Impaired</p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class=""><br data-mce-bogus="1"></strong></p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class="">Summary</strong>: Reading performance evaluation has become one of the essential clinical measures for judging the effectiveness of treatments, surgical procedures, or rehabilitation techniques for low-vision patients. To create accurate reading tests, one needs to design a series of equivalent sentences in terms of linguistics, length, and layout. However, because of their highly constrained nature, these sentences are hard to produce, leading to a very limited number of test versions. Your primary mission will be to develop fundamental AI methods for automated natural language production, respecting strict constraints. Your results will have a direct impact on the design of powerful e-health diagnostic and rehabilitation tools that will benefit low-vision patients and their medical care staff. This project requires skills in computer science (algorithms, data structure, combinatorial optimization), and you should have a keen interest in medical applications. You will be part of a pluridisciplinary academic consortium, with three supervisors bringing their complementary expertise (Pierre Kornprobst, Jean-Charles Régin and Aurélie Calabrèse from Inria/Université Côte d'Azur), and one international expert in low-vision for your 6-month secondment (Gordon E. Legge; University of Minnesota). You will also benefit from the participation of a private partner interested in natural language production (MantuLab Amaris Research Unit in Sophia Antipolis). Overall, this project will foster promising perspectives for your career, notably in the fields of natural language processing and AI, which are highly demanded in academia and industry.</p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class=""><br data-mce-bogus="1"></strong></p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class="">Ph.D. program</strong>: This Ph.D. has been selected in the BoostUrCAreer program from Université Côte d'Azur, a multidisciplinary doctoral program in e-health supported by the European Union’s Horizon 2020 program and the Conseil Region Sud-Provence-Alpes-Côte d’Azur. This program provides unique working conditions such as an attractive salary and travel and mobility allowances.</p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class=""><br data-mce-bogus="1"></strong></p><p style="margin: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: helvetica, arial, sans-serif; background-color: rgb(255, 255, 255);" class="" data-mce-style="margin: 0px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff;"><strong class="">To learn more</strong></p><ul style="padding-left: 30px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff; margin: 15px 0px 0px !important 0px;" class="" data-mce-style="padding-left: 30px; caret-color: #000000; color: #000000; font-family: helvetica, arial, sans-serif; background-color: #ffffff; margin: 15px 0px 0px !important 0px;"><li style="margin: 0px;" class="" data-mce-style="margin: 0px;">about the subject or the Biovision Lab, please contact us at <span class="Object" role="link" id="OBJ_PREFIX_DWT1595_ZmEmailObjectHandler"><a href="mailto:biovision.apply@inria.fr" class="" target="_blank" data-mce-href="mailto:biovision.apply@inria.fr">biovision.apply@inria.fr</a></span> or visit our website: <span class="Object" role="link" id="OBJ_PREFIX_DWT1596_com_zimbra_url"><a href="https://team.inria.fr/biovision" style="color: #4183c4; margin-top: 0px;" class="" target="_blank" data-mce-href="https://team.inria.fr/biovision" data-mce-style="color: #4183c4; margin-top: 0px;">https://team.inria.fr/biovision</a></span><br data-mce-bogus="1"></li><li style="margin: 0px;" class="" data-mce-style="margin: 0px;">about the BoostUrCAreer program, working condition and to submit your application, please visit: <span class="Object-hover" role="link" id="OBJ_PREFIX_DWT1597_com_zimbra_url"><a href="http://univ-cotedazur.fr/fr/recherche/boosturcareer#.Xk0jkhd7mOE" style="color: #4183c4; margin-top: 0px;" class="" target="_blank" data-mce-href="http://univ-cotedazur.fr/fr/recherche/boosturcareer#.Xk0jkhd7mOE" data-mce-style="color: #4183c4; margin-top: 0px;">http://univ-cotedazur.fr/fr/recherche/boosturcareer#.Xk0jkhd7mOE</a></span> (project acronym: AI4VI)</li></ul><div class=""><br class=""></div></div></div></div><div data-marker="__SIG_POST__">-- <br></div><div><br>Aurélie Calabrèse, Ph.D.<br><br>Research Associate @ Inria Sophia Antipolis - Méditerranée - FRANCE<br>2004, route des Lucioles - BP 93<br>06902 Sophia Antipolis Cedex<br><br>www.aureliecalabrese.com</div></div></body></html>