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A PhD Fellowship in Natural Language Processing is available at the Department of Computer Science, University of Copenhagen.
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<div class="">The position is offered in the context of a basic research project on 'Detecting Gender-Biased Language on Social Media' funded by the Independent Research Fund Denmark (DFF). </div>
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<div class="">The fellowship offers the applicant employment as a PhD Fellow for a period of three years. The successful candidate will be advised by Isabelle Augenstein and co-advised by Ryan Cotterell (ETH Zurich). Funding for bilateral visits is available. </div>
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<div class="">The <b class="">call is open until 1 December 2019 for a start in Spring 2020</b>. Candidates are expected to hold a Master’s degree in Computer Science or a related relevant area or be near completion for one. There are no restrictions on citizenship,
and a language certificate is not required at application time. Candidates from traditionally underrepresented minorities in natural language processing are particularly encouraged to apply.</div>
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<div class="">More information and application link: <a href="https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18970&ProjectId=150660&MediaId=5&SkipAdvertisement=false" class="">https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18970&ProjectId=150660&MediaId=5&SkipAdvertisement=false</a></div>
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<div style="font-size: 12px;" class="">———<br class="">
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Isabelle Augenstein, PhD<br class="">
Tenure-track Assistant Professor</div>
<div style="font-size: 12px;" class="">Department of Computer Science</div>
<div style="font-size: 12px;" class="">University of Copenhagen<br class="">
Universitetsparken 5, 2100 Copenhagen, Denmark<br class="">
www: <a href="http://isabelleaugenstein.github.io/" class="">http://isabelleaugenstein.github.io/</a></div>
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