A PhD Fellowship in Natural Language Processing is available at the Department of Computer Science, University of Copenhagen.
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). 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. The call is open until 1 December 2019 for a start in Spring 2020. 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. More information and application link: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18970&ProjectId=150660&MediaId=5&SkipAdvertisement=false ——— Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/
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