Annonce en lien avec l’Action/le Réseau : aucun
Laboratoire/Entreprise : Universite Pierre et Marie Curie, Paris, France
Durée : 15 mois
Contact : patrick.gallinari@lip6.fr
Date limite de publication : 2016-08-31
Contexte :
The Laboratoire d’Informatique de Paris 6 (LIP6) in Paris, France, has a 15 months funded full-time Post-Doctoral Researcher position available in machine learning.
The position is available as soon as july 2016 for a 15 months period.
Sujet :
The Topic of the post-Doc is Representation Learning and Deep Learning for the integration of heterogeneous of dynamic information sources such as text, micro-blogs, semantic and structured information, social networks, to solve recommendation tasks. This research will be carried out in collaboration with industrial partners who will provide data and experimental testbeds, allowing to develop and experiment original solutions.
The successful candidate will join the Machine Learning and Information Access team of the University Pierre et Marie Curie, Paris, France, led by Prof. Patrick Gallinari. The post-doc will be supervised by Prof. Patrick Gallinari and Dr. Benjamin Piwowarski. The University Pierre et Marie Curie is referenced as the first French university in the academic ranking of international universities.
Profil du candidat :
The ideal candidate will have:
– A PhD in machine learning, data mining or other strongly related discipline.
– A very solid background in computer science and mathematics. Special areas of interest include: statistical machine learning, representation learning.
– Strong publication record in the area of machine learning.
– Solid programming skills to conduct experiments
– Excellent command of English and team work capacity.
Formation et compétences requises :
Adresse d’emploi :
The position is available as soon as july 2016 for a 15 months period.
Location: LIP6, University Pierre et Marie Curie, Paris (France)
Duration: July 2015 – March 2017
Net salary: from 1,800 Euros to 2,400 Euros per month, commensurate with experience.
The ideal candidate will have:
– A PhD in machine learning, data mining or other strongly related discipline.
– A very solid background in computer science and mathematics. Special areas of interest include: statistical machine learning, representation learning.
– Strong publication record in the area of machine learning.
– Solid programming skills to conduct experiments
– Excellent command of English and team work capacity.
Candidates should send to patrick.gallinari@lip6.fr and benjamin.piwowarski@lip6.fr:
– a CV
– a short cover letter explaining why their skills, knowledge and experience make them a particularly suitable candidate for the given position
– Their three most representative papers
– The name and emails of two referees