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Postdoctoral position in computer vision and language (Paris, France)

hleborgne – Posted on November 20, 2017 at 5:39 am –

  • Job Type: Post-Doc
  • Employer: CEA LIST and CNRS LIMSI
  • Location: Palaiseau, France
  • Link:
  • Job Descriptions:

The CEA LIST and CNRS LIMSI (both located at the Paris-Saclay University in France) are seeking a postdoctoral researcher to develop deep learning approaches in computer vision and/or natural language processing. The CEA and CNRS are two major research centers in France, both of them ranked in the top-10 World’s Most Innovative Research Institutions by Reuters in 2016 and 2017.

The post-doc deals with the disambiguation of visual and textual content, in the context of an Entity Disambiguation task, also known as Entity Linking. It consists in connecting an entity extracted from a document to known and unique entities in a knowledge base. On nowadays, actual Entity Linking, with regard to millions of instances in the knowledge base, is only applied to textual content. The proposed post-doc consists in exploring the usage of visual information to improve the disambiguation. It thus relates to both computer vision and natural language processing and the candidate will work with researchers of both domains, relying on machine learning and deep learning methods. In particular, a core problem is that of the design of a textual/visual joint space in the same as those used in visual question answering and automatic image captioning.

An ideal candidate should possess (or be near completion of) a doctoral degree in computer vision, machine learning or natural language processing together with a solid mathematical background, good programming skills and a strong academic publication record. The starting date is first semester 2018. The contract is for a 1-year period with a possible extension.

Applicant should send a CV, a focused motivation letter and one to three recommendation letters to herve.le-borgne@cea.fr and bg@limsi.fr.


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