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Intern
    DMIR Research Group

    Postdoctoral Researcher in Natural Language Processing / Machine Learning

    Department

    DMIR Research Group, Computer Science Institut

    Location

    Hubland Campus (South), Julius-Maximilians-University Würzburg, Germany

    The DMIR Research Group is a highly interdisciplinary group of researchers led by Prof. Andreas Hotho focusing on novel methods in the areas of machine learning and artificial intelligence. We are mainly focusing on natural language processing and the semantic web but also work on projects aimed at modeling and predicting environmental aspects. For more information such as a list of projects as well as an overview of recent publications, please see:
    http://dmir.uni-wuerzburg.de

    Job description

    The DMIR group at the University of Würzburg is looking for a highly motivated candidate to join the DMIR Research group to develop and research novel methods at the intersection of natural language processing and machine learning. The goal is to solve tasks arising in a broad range of areas starting from digital humanities over semantic web to social media together with computational linguists, social or literature scientists, and physicists.

    The tasks connected with the position are the following:

       

    • Perform fundamental and applied research in the areas of NLP and ML

    • Actively participate in the research activities of the "Data Mining and Information Retrieval" (DMIR) group

    • Organize research with a highly motivated team of Ph.D. students

    • Actively contribute to the design and initiation of new research projects and ideas

    • Present research results at top international workshops and conferences, exhibits, and project meetings

    • Co-author articles for publication in leading peer-reviewed journals and top conferences

    If you are excited about an opportunity to work, research, and learn in an interdisciplinary environment with computer scientists and mathematicians, then please contact us.

    Requirements

    The ideal candidate has a Ph.D. in Machine Learning, Data Mining or related areas with focus on natural language processing, computational linguistics or a closely-related field. The ability of approaching research problems with a system view, of working in a multidisciplinary team environment, problem solving skills and high creativity are very welcome. The following aspects are important factors:

       

    • Proven ability to develop research independently

    • Willingness to share expertise and learn from others

    • A strong publication record

    • Advanced to strong oral and written English skills are expected and German is a strong plus

    • Experience in various fields of machine learning, data mining and related areas are expected

    • Experience in natural language processing tasks and related areas are excepted

    • Experience in applying and developing neural networks is a strong plus

    Conditions

    The position is a limited-term contract from the earliest possible date. Maximum runtime is 6 years after Ph.D. Salary is based on TVL. There is the typical teaching load associated with this position. The possibility for habilitation is given. Please note that we will support you in the acquisition of projects and/or third-party funding.

    The University aims to increase the proportion of female employees, therefore applications from qualified women are particularly welcome. Preference will be given to people with disabilities in the case of otherwise equal aptitude. The position can be filled part-time as well.

    Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than March 16th, 2018, to Prof. Dr. Andreas Hotho (hotho@informatik.uni-wuerzburg.de). You are welcome to contact Prof. Dr. Andreas Hotho (hotho@informatik.uni-wuerzburg.de) or Martin Becker (becker@informatik.uni-wuerzburg.de) for additional details.

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    Hinweis zum Datenschutz

    Mit 'OK' verlassen Sie die Seiten der Universität Würzburg und werden zu Twitter weitergeleitet. Informationen zu den dort erfassten Daten und deren Verarbeitung finden Sie in deren Datenschutzerklärung.

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    Kontakt

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Tel.: +49 931 31-86731
    Fax: +49 931 31-86732

    Suche Ansprechpartner

    Hubland Süd, Geb. M2