PostDoc Routing in Road Networks - Naver Labs Europe
    7 March 2019
    Grenoble, France
    Job Type


    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 currently proposing a 18 months post-doc position in operational research to design and implement new algorithms for routing and rerouting in time-dependent and dynamic networks. Joining the Machine Learning and Optimization group, the successful candidate is expected to integrate his work in one or several NAVER products or services, as well as publish his work in international journals or conferences.

    Required skills

    - Ph.D. in Operational Research.
    - Strong development skills in C++.
    - Good publication track record.
    - Highly motivated, good team player skills.

    Preferred skills

    - Code optimization
    - Working knowledge of linux and docker

    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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