The position is fully funded by Prof. Milica Gasic' ERC Starting Grant project DYMO. It comes with a competitive salary determined by the collective agreement for public employees in Germany (EG 13 TV-L); it is full-time and carries no teaching duties.
The goal of the project is to develop the next generation of statistical dialog systems that are dynamically extensible in terms of their knowledge, management and generation. The project also involves building realistic user models and sophisticated reward mechanisms based on cutting edge machine learning and natural language processing methods.
The candidate must hold a PhD degree in natural language processing, machine learning or a related field. Excellent programming skills are essential. An ideal candidate would have some experience with dialog modelling.