Computer vision research scientist (multiple positions) - Naver Labs Europe
    5 March 2019
    Grenoble, France
    Job Type
    Start date


    NAVER LABS Europe conducts fundamental and applied research in autonomous vehicles, AI, 3D mapping, AR and robotics. We encourage active participation in the academic community and our researchers regularly collaborate with world-class public research groups. We also regularly publish in venues such as CVPR, ICCV, ECCV, TPAMI and IJCV and release datasets for public use, such as our Proxy Virtual Worlds dataset.

    We are currently inviting applications from scientists who are excited about contributing to the invention, development and benchmarking of computer vision technologies such as object recognition, retrieval, detection, tracking and human behavior understanding. S/he will also contribute to the deployment of these technologies in a number of NAVER flagship products and services.

    Required skills

    - Ph.D. degree in computer vision or a related discipline.
    - Excellent publication track record in venues such as ICCV, CVPR, ECCV, BMVC, NIPS, ICML, TPAMI and IJCV.
    - Strong development skills, preferably in C/C++ and/or python.
    - Highly motivated.

    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 one reference before you submit.
    Incomplete applications will not be accepted.

    About NAVER LABS

    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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