The successful candidates will carry out research towards a PhD on one of the following topics: (1) Effectively and efficiently supporting dataset maintainers in semi-automatically cleaning and enriching datasets to make them fit for question answering. (2) High-quality interpretation of voice input and natural language text as database queries.

The successful candidates will work in the Marie Skłodowska-Curie International Training Network WDAqua (Answering Questions using Web Data), undertaking advanced fundamental and applied research into models, methods, and tools for data-driven question answering on the Web, spanning a diverse range of areas and disciplines (data analytics, social computing, Linked Data, and Web science). They will participate in the network’s training schedule and perform internships with other project partners. There will be no teaching obligation but teaching can be arranged, if desired.

We offer:

Two or more academic supervisors from the WDAqua network (the PhD student working on topic (1) will obtain a dual PhD degree with Université Jean Monnet Saint-Étienne, France)
A support grant to attend conferences, summer schools, and other events related to your research.
The possibility to obtain a discounted public transport ticket.


Bonn University/ Fraunhofer Institute


Job Requirements:
A Master degree in Computer Science or equivalent.
Not having resided/worked in Germany for more than 12 months in the 3 years before starting the work (Marie Skłodowska-Curie mobility rule)
Proficiency in spoken and written English. Proficiency in German is a plus.
Familiarity with Semantic Web, Natural Language Processing, Indexing and Data Analytics is an asset.

Specific requirements:

On top of a generous basic salary we offer a mobility allowance and, if applicable, a family allowance. Initial appointment will be for one year with a possible extension to 3 years. The position starts as soon as possible. Initial appointment will be for one year with a possible extension to 3 years.

Educational level:

Master Degree

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