NLP and text mining



    IBM Research GmbH
    Post-Doc researcher: NLP and text mining

    Project description
    We are seeking to fill a postdoctoral research position available immediately at IBM Research – Zurich in the area of NLP and text mining.

    The main focus of the postdoctoral researcher will be to provide solutions to the challenges of interpretation, analysis, information extraction and search (both semantic and keyword based) over large amounts of unstructured text documents, as well as connecting structured and unstructured data. Therefore, knowledge in the state-of-the-art NLP and text mining methods, as well as the ability, intelligence and creativity to modify them and advance beyond them is very important. Furthermore, experience with applying techniques for information extraction and harvesting knowledge from high quality Web sources in order to automatically build and curate knowledge bases is highly relevant. Familiarity with deep learning methods and machine learning is a plus.

    At IBM Research – Zurich, we are developing cognitive solutions for challenging NLP and text mining problems on very large, domain-specific, unstructured text documents comprising a mixture of both human and machine generated content. The successful candidate will be a part of a dedicated, international team that aims to provide efficient solutions to these problems.

    Requirements
    Candidates should have a PhD in Computer Science, NLP, machine learning, computational linguistics or equivalent with a track record in NLP, text mining, and/or machine learning. We expect strong analytical and problem solving skills, strong programming skills in Java/Python or similar, ability to conduct independent research, excellent communication and team skills. Software Engineering experience, familiarity with R and Big Data analytics is a plus.

    The Post-Doc position has a duration of 18 months.

    Diversity
    IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent, flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.

    How to apply
    If the above position fits your background, please send your complete CV, including a list of publications and skills, as well as contact information for three references to:
    Mirjam Strebel, Human Resources
    e-mail: [email protected]

    For technical information please contact Dr. Dorothea Wiesmann ([email protected])


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