<html><body><div style="font-family: times new roman, new york, times, serif; font-size: 12pt; color: #000000"><div><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="color: rgb(0, 0, 0); font-size: medium;"><span style="font-family: Helvetica, Arial, sans-serif;" data-mce-style="font-family: Helvetica, Arial, sans-serif;"><span lang="en-US"><b>Natural language processing: adding new words to a speech recognition system using Deep Neural Networks</b></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Location:</b></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"> INRIA/LORIA Nancy Grand Est research center France</span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Research theme:</b></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"> </span></span><span style="color: rgb(0, 0, 255);" data-mce-style="color: #0000ff;"><span style="text-decoration: underline;" data-mce-style="text-decoration: underline;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><a class="western" href="http://www.inria.fr/recherche/equipes/domaine40.en.html" data-mce-href="http://www.inria.fr/recherche/equipes/domaine40.en.html">Perception, Cognition, Interaction</a> </span></span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Project-team: Multispeech</b></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Scientific Context:</b></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">Voice is seen as the next big field for computer interaction. The research company Gartner reckons that by 2018, 30% of all interactions with devices will be voice-based: people can speak up to four times faster than they can type, and the technology behind voice interaction is improving all the time.</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">As of October 2017, Amazon Echo is present in about 4% of American households. Voice assistants are proliferating in smartphones too: Apple’s Siri handles over 2 billion commands a week, and 20% of Google searches on Android-powered handsets in America are done by voice input.</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">The proper nouns (PNs) play a particular role: they are often important to understand a message and can vary enormously. For example, a voice assistant should know the names of all your friends; a search engine should know the names of all famous people and places, names of museums, etc.</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">An automatic speech recognition system uses a </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><b>lexicon</b></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"> containing the most frequent words of the language and only the words of the lexicon can be recognized by the system. It is impossible to add all possible proper names because there are millions proper names and new ones appear every day. A competitive solution is to dynamically add new PNs into the ASR system. The idea is to add only relevant proper names: for instance if we want to transcribe a video document about football results, we should add the names of famous football players and not politicians. </span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 10);" data-mce-style="color: #00000a;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">In this study, we will focus on </span></span></span><span style="color: rgb(0, 0, 10);" data-mce-style="color: #00000a;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><b>the problem of proper names in automatic recognition systems</b></span></span></span><span style="color: rgb(0, 0, 10);" data-mce-style="color: #00000a;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">. The problem is to find relevant proper names for the audio document we want to transcribe. To select the relevant proper names, we propose to use an artificial neural network. </span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><span style="font-size: medium;"><b>- Missions:</b></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">We assume that in an audio document to transcribe we have missing proper names, i.e. proper names that are pronounced in the audio document but that are not in the lexicon of the automatic speech recognition system; these proper names cannot be recognized (</span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><b>out-of-vocabulary proper names</b></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">, OOV PNs)</span></span></span></span></p><p class="western" style="margin: 0px; text-indent: -1.25cm;" data-mce-style="margin: 0px; text-indent: -1.25cm;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><b>The goal of this PhDThesis is to find a list of relevant OOV PNs that correspond to an audio document and to integrate them in the speech recognition system.</b></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"> We will use a</span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><b> Deep neural network </b></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">to find relevant OOV PNs The input of the DNN will be the approximate transcription of the audio document and the output will be the list of relevant OOV PNs with their probabilities. The retrieved proper names will be added to the lexicon and a new recognition of the audio document will be performed.</span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">During the thesis, the student will investigate methodologies based on deep neural networks [Deng2013]. The candidate will study different structures of DNN and different representation of documents [Mikolov2013]. </span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">The student will validate the proposed approaches using the automatic transcription system of radio broadcast developed in our team.</span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><span style="font-size: medium;">- <b>Bibliography:</b></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">[Mikolov2013] Mikolov, T., Chen, K., Corrado, G. and Dean, J. “</span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><i>Efficient estimation of word representations in vector space</i></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">”, Workshop at ICLR, 2013.</span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">[Deng2013] Deng, L., Li, J., Huang, J.-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., Gong, Y. and Acero A. “</span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><i>Recent advances in deep learning for speech research at Microsoft</i></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">”, Proceedings of ICASSP, 2013.</span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">[Sheikh2016] Sheihk, I., Illina, I., Fohr, D., Linarès, G. “</span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><i>Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition</i></span></span></span><span style="color: rgb(0, 0, 0);" data-mce-style="color: #000000;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">”. Interspeech, 2016. </span></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="justify"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="justify"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Skills and profile: </b></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">Master in</span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><i> computer science, </i></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><i>background in statistics, natural language processing, experience with deep learning tools (keras, kaldi, etc.) and computer program skills (Perl, Python).</i></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><br> </span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">- </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU"><b>Additional information: </b></span></span></span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="text-indent: 0.35cm; margin: 0px;" data-mce-style="text-indent: 0.35cm; margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">Supervision and contact: </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">Irina Illina, LORIA/INRIA (</span></span><span style="color: rgb(0, 0, 255);" data-mce-style="color: #0000ff;"><span style="text-decoration: underline;" data-mce-style="text-decoration: underline;"><a class="western" href="mailto:illina@loria.fr" data-mce-href="mailto:illina@loria.fr"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">illina@loria.fr</span></span></a></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">), Dominique Fohr INRIA/LORIA (</span></span><span style="color: rgb(0, 0, 255);" data-mce-style="color: #0000ff;"><span style="text-decoration: underline;" data-mce-style="text-decoration: underline;"><a class="western" href="mailto:dominique.fohr@loria.fr" data-mce-href="mailto:dominique.fohr@loria.fr"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">dominique.fohr@loria.fr</span></span></a></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">) </span></span><span style="color: rgb(0, 0, 255);" data-mce-style="color: #0000ff;"><span style="text-decoration: underline;" data-mce-style="text-decoration: underline;"><a class="western" href="https://members.loria.fr/IIllina/" data-mce-href="https://members.loria.fr/IIllina/"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">https://members.loria.fr/IIllina/</span></span></a></span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">, </span></span><span style="color: rgb(0, 0, 255);" data-mce-style="color: #0000ff;"><span style="text-decoration: underline;" data-mce-style="text-decoration: underline;"><a class="western" href="https://members.loria.fr/DFohr/" data-mce-href="https://members.loria.fr/DFohr/"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">https://members.loria.fr/DFohr/</span></span></a></span></span></span><br data-mce-bogus="1"></p><p class="western" style="text-indent: 0.35cm; margin: 0px;" data-mce-style="text-indent: 0.35cm; margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-AU">Additional links: </span></span><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"><i>Ecole Doctorale IAEM Lorraine </i></span></span></span></p><p class="western" style="text-indent: 0.35cm; margin: 0px;" data-mce-style="text-indent: 0.35cm; margin: 0px;" lang="en-AU" align="left"><br></p><p class="western" style="text-indent: 0.35cm; margin: 0px;" data-mce-style="text-indent: 0.35cm; margin: 0px;" lang="en-AU" align="left"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">Duration: 3 years</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-AU" align="left"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">Starting date: between Oct. 1st 2018 and Jan. 1st 2019</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" align="left"><span style="font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">Deadline to apply : May 1</span></span><sup><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US">st</span></span></sup><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><span lang="en-US"> 2018</span></span></span></p><p style="margin: 0px; line-height: 115%;" data-mce-style="margin: 0px; line-height: 115%;" lang="en-US" align="left"><br></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US"><span style="color: rgb(255, 0, 0); font-size: medium;"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;" data-mce-style="font-family: Liberation\ Serif, Times\ New\ Roman, serif;"><i>The candidates are required to provide the following documents in a single pdf or ZIP file: </i></span></span></p><ul><li><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">CV</span></p></li><li><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">A cover/motivation letter describing their interest in the topic </span></p></li><li><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">Degree certificates and transcripts for Bachelor and Master (or the last 5 years)</span></p></li><li><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">Master thesis (or equivalent) if it is already completed, or a description of the work in progress, otherwise</span></p></li><li><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">The publications (or web links) of the candidate, if any (it is not expected that they have any) </span></p></li></ul><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-GB"><span style="font-family: Liberation\ Serif, Times\ New\ Roman, serif; font-size: medium;">In addition, one recommendation letter from the person who supervises(d) the Master thesis (or research project or internship) should be sent directly by his/her author to the prospective PhD advisor.</span></p><p class="western" style="margin: 0px;" data-mce-style="margin: 0px;" lang="en-US" align="left"><br></p></div><div><br></div><div>-- <br></div><div><span name="x"></span>Associate Professor <br>Lorraine University<br>LORIA-INRIA<br>office C147 <br>Building C <br>615 rue du Jardin Botanique<br>54600 Villers-les-Nancy Cedex<br>Tel:+ 33 3 54 95 84 90<span name="x"></span><br></div></div></body></html>