2019-01326 - Post-Doctoral Research Visit F/M Post-doctoral position to work in the Cognitive Machine Learning team (CoML) lead by Prof. Emmanuel Dupoux
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD de la fonction publique

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

Niveau d'expérience souhaité : De 3 à 5 ans

Contexte et atouts du poste

The Ecole Normale Supérieure, Paris and INRIA are currently hiring two two-years post-doctoral fellows to work in the Cognitive Machine Learning team (CoML) lead by Prof. Emmanuel Dupoux. This team is interested in reverse engineering the ability of infants to learn language with few samples and without explicit supervision, and more generally to find algorithms that mimic the capacity of humans to learn in a flexible and autonomous way. The CoML team is part of a vibrant research environment in the heart of the Quartier Latin in Paris, at the interface between world class research groups in Cognitive Science and Artificial Intelligence.  

The postdoctoral fellows would ideally become involved in one or more of several ongoing projects, including:

  • The development of speech technology/machine learning algorithms inspired by how infants learn language, i.e, with little or no supervision. This project would be linked to the Zero Resource Speech Challenge series, and involve collaborations with Facebook AI Research and Google AI.
  • The development of learning algorithms linking symbolic and numerical computations in language processing or reasoning. This project would be in collaboration with P. Smolensky (Microsoft Research & Johns Hopkins University).
  • The application to such algorithms to the modeling of language acquisition in infants, which implies developing techniques to process very large amounts of (noisy) daylong recordings of infant’s language input and outcome across cultures. This project will be in collaboration with A. Cristia and other members of the Departement d’Etudes Cognitives in Paris.  

    The Ecole Normale Supérieure, Paris and INRIA are currently hiring two two-years post-doctoral fellows to work in the Cognitive Machine Learning team (CoML) lead by Prof. Emmanuel Dupoux. This team is interested in reverse engineering the ability of infants to learn language with few samples and without explicit supervision, and more generally to find algorithms that mimic the capacity of humans to learn in a flexible and autonomous way. The CoML team is part of a vibrant research environment in the heart of the Quartier Latin in Paris, at the interface between world class research groups in Cognitive Science and Artificial Intelligence.  

Mission confiée

The postdoctoral fellows would ideally become involved in one or more of several ongoing projects, including:

  • The development of speech technology/machine learning algorithms inspired by how infants learn language, i.e, with little or no supervision. This project would be linked to the Zero Resource Speech Challenge series, and involve collaborations with Facebook AI Research and Google AI.
  • The development of learning algorithms linking symbolic and numerical computations in language processing or reasoning. This project would be in collaboration with P. Smolensky (Microsoft Research & Johns Hopkins University).
  • The application to such algorithms to the modeling of language acquisition in infants, which implies developing techniques to process very large amounts of (noisy) daylong recordings of infant’s language input and outcome across cultures. This project will be in collaboration with A. Cristia and other members of the Departement d’Etudes Cognitives in Paris.

Principales activités

The postdoctoral fellows would ideally become involved in one or more of several ongoing projects, including:

  • The development of speech technology/machine learning algorithms inspired by how infants learn language, i.e, with little or no supervision. This project would be linked to the Zero Resource Speech Challenge series, and involve collaborations with Facebook AI Research and Google AI.
  • The development of learning algorithms linking symbolic and numerical computations in language processing or reasoning. This project would be in collaboration with P. Smolensky (Microsoft Research & Johns Hopkins University).
  • The application to such algorithms to the modeling of language acquisition in infants, which implies developing techniques to process very large amounts of (noisy) daylong recordings of infant’s language input and outcome across cultures. This project will be in collaboration with A. Cristia and other members of the Departement d’Etudes Cognitives in Paris.

Compétences

Requirements:

  • The candidate should have a PhD and research experience in speech technology, machine learning or computational linguistics.
  • Strong English language and writing skills are required (speaking French not required).
  • Strong technical skills (maths and/or programming) will be helpful.
  • An appetence for collaborative projects and open source/replicable science will be appreciated.
  • A genuine interest or background knowledge in cognitive science and/or language development research topics is a plus.

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training