PhD position in continual machine learning for knowledge extraction from text
Sien Moens
We offer a 4-year fully funded PhD position on the topic of continual machine learning aimed at knowledge extraction from text. The integration of unstructured (text) and structured data (knowledge base entries and natural language structure) will be studied to improve current knowledge extraction from text and to decrease the need for annotated training data. The PhD involves cutting-edge research on the integration of structured knowledge and deep learning models in a continual learning set-up. This fundamental research will be evaluated in the biomedical and news domains. The research project is funded by the FWO (Fonds Wetenschappelijk Onderzoek Vlaanderen) and the SNSF (Swiss National Science Foundation).
Profile
We are looking for a highly creative candidate who has (or is near completion of) a master in Computer Science (or a related field) with a profound interest in natural language processing and machine learning, who has excellent grades, is able to work independently and has a very good knowledge of English, both spoken and written.
Offer