The Natural Language Processing Section (https://di.ku.dk/english/research/nlp/) provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The section came into effect on 1 January 2021 as a spin-off from the Machine Learning section, to which it still maintains close ties. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The successful candidates will join Isabelle Augenstein’s Natural Language Understanding research group (www.copenlu.com). The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings.
=== PhD positions ===
The PhD fellowships are offered in the context of a DFF Sapere Aude research leader fellowship on ‘Learning to Explain Attitudes on Social Media (EXPANSE)’. Sapere Aude is a program by the Independent Research Fund Denmark to support the most talented younger researchers in Denmark with funding for blue-skies research to build up or expand their research groups.
More information about the project can also be found at: https://dff.dk/en/grants/research-leaders-2020/researchleader-14
The supervisor is Associate Professor Isabelle Augenstein, Department of Computer Science, e-mail: augen...@di.ku.dk.
For the PhD positions, applicants should hold a MSc degree or equivalent in Computer Science or a related field, and have good written and oral English skills. The assessment of your qualifications will also be made based on previous scientific publications (if any) and relevant work experience.
Applications for the PhD positions can be submitted here: https://employment.ku.dk/faculty/?show=153150
=== Postdoc positions ===