| PhD positions are available in our group at Inria, in France, on deep learning for: - speech enhancement - robust speaker recognition - robust speech recognition - language model adaptation
Details: http://www.adum.fr/as/ed/voirproposition.pl?langue=en&site=IAEM&matricule_prop=12468 http://www.adum.fr/as/ed/voirproposition.pl?langue=en&site=IAEM&matricule_prop=12465 http://www.adum.fr/as/ed/voirproposition.pl?langue=en&site=IAEM&matricule_prop=12473 http://www.adum.fr/as/ed/voirproposition.pl?langue=en&site=IAEM&matricule_prop=10773
Profile: Candidates must hold an MSc in computer science, machine learning, signal processing, or applied mathematics, or be about to obtain one. Programming experience in Python or C/C++ is a must.
Working Environment: Nancy is one of the top cities to study in France with 50,000 students, cheap accomodation, a vibrant cultural scene, and good connections to Paris (1.5h), Luxemburg (1.5h), Belgium, and Germany. Inria Nancy is a 500-people research institute dedicated to computer science. The Multispeech team (https://team.inria.fr/multispeech/) is a 30-people group covering various fields of speech science, with a strong emphasis on statistical machine learning and signal processing.
To apply: Click on 'candidater' at the bottom of the webpage. You will be asked for a detailed CV, BSc and Msc transcripts and diplomas, publications, and recommendation letters. Please apply as soon as possible. There will be a first cutoff date on May 31 and a second one on June 30.
-- Emmanuel Vincent Multispeech Project-Team
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