Independent Research Group Leader in Natural Language Processing
The Department of Computer Science at the Technical University of Darmstadt keeps growing – we are now looking for an Independent Research Group Leader (equivalent to the assistant professor level) in NLP to join our team!
Are you interested in doing cutting-edge research on Natural Language Processing and AI, often in collaboration with top academic and industrial partners? We are a diverse team working on some of the hardest and most exciting machine learning challenges, including representation learning, neural IR, explainable NLP, continual learning, multi-task learning, self-supervised learning, and more.
This is a non-tenure based research position, initially for 4 years with a possibility for an extension, to qualify for a professorship. Potential topics include but are not limited to neuro-symbolic NLP, conversational AI, large-language models and statistical NLP in general. The successful candidate can be affiliated with the Hessian.AI research centre and participate in collaborative research projects, one of them dealing with language-based cooperation in expert domains.
Within the Department of Computer Science, the candidate will closely collaborate with the UKP lab led by Prof. Iryna Gurevych.
The candidate should fulfil the following profile: an excellent PhD degree in NLP or related field (up to 4 years after the PhD), international research track-record, interest and skills in advising students, teaching and project management. Besides the funding for the Independent Research Group Leader position, the successful candidate will receive start-up funds for a fulltime research assistant (about 65k p.a.), 5k p.a. travel and some equipment funds.
The application documents (CV, PhD certificate, publication list, motivation letter, max. 3 pages research program) should be submitted to Prof. Iryna Gurevych iryna.gurevych (at) tu-darmstadt (dot) de by September, 6th at latest. The short-listed candidates will then participate in the selection process of the Department.
