The Computer Science Department at IT University of Copenhagen (ITU) invites highly motivated individuals to apply for several fully funded PhD positions in Natural Language Processing for projects supervised by Associate Professor Barbara Plank. The ideal starting date is summer 2020.
The projects
The PhD candidates will focus on cutting-edge research within Natural Language Processing on using deep learning to tackle one of the most fundamental open challenges in Natural Language Understanding: to robustly handle multiple dimensions of language shifts (languages, domains, genre etc.) The aim is to devise new algorithms to learn cross-lingually, under domain shift and under minimal guidance with applications to dependency parsing and information extraction in broad and specific domains.
If you are passionate about core natural language processing tasks (dependency parsing or information extraction), the problem of language variety in NLP, and you are interested in methods from transfer learning and weak supervision, including multi-task learning, transfer, continual learning, cross-lingual learning, domain adaptation and active learning, these positions might be for you.
The PhD positions are fully funded by two Independent Research Fund Denmark (DFF) grants led by Barbara Plank (MultiVaLUe: DFF sapere aude grant and MultiSkill: DFF thematic grant). The positions include research stays at NLP partners in Northern Europe.
Further details:
PhD positions in Natural Language Processing for Cross-Lingual, Cross-Domain, and Limited Supervision Learning at ITU Copenhagen