Natural Language Processing Researcher - Naver Labs Europe
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20 March 2019
Grenoble, France


NAVER LABS Europe's mission is to advance the state-of-the-art in Ambient Intelligence, while paving the way for these innovations into a number of NAVER flagship products and services. This includes research in models and algorithms to give humans faster and better access to data and to allow them to interact with technology in simpler and more natural ways.

We are looking for applications from research scientists at all levels (from post-docs to senior scientists) to make outstanding contributions to the invention, development and benchmarking of natural language processing techniques for modeling text, information extraction, machine translation, opinion mining, multi-modal dialogue, question & answering, information retrieval and interactive learning.

At NAVER LABS we encourage participation in the academic community. Our researchers collaborate closely with universities and regularly publish in venues such as ACL, EMNLP, KDD, SIGIR, ICML and NeurIPS.

Required skills

- Ph.D. in natural language processing (NLP) or machine learning.
- Knowledge of latest developments in statistical and deep learning as applied to NLP.
- Strong publication record in top-tier NLP, information retrieval or machine learning conferences.
- Strong development skills, preferably in python and knowledge of relevant frameworks (spacy, sklearn, tensorflow, pytorch, etc).

Application instructions

You can apply for this position online (see below). Don't forget to upload your CV, cover letter and the name of at least two references before you submit.
Incomplete applications will not be accepted.


NAVER LABS Europe has full-time positions, PhD and PostDoc opportunities throughout the year which are advertised here and on international conference sites that we sponsor such as CVPR, ICCV, ICML, NeurIPS, EMNLP etc. NAVER LABS Europe is an equal opportunity employer.

LABS are in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.

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