PhD position in deep learning for natural language knowledge extraction

The Idiap Research Institute seeks qualified candidates for PhD student positions in the field of natural language processing, developing deep learning methods for knowledge extraction from text.

The research will be conducted in the framework of the Swiss NSF funded project Deep Learning Models for Continual Extraction of Knowledge from Text, in collaboration with Prof Moens at KU Leuven. The successful candidate will investigate knowledge base population by jointly embedding a knowledge base and text with attention-based deep learning models of graphs.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing or machine learning. The applicant should also have strong programming skills.

The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL (http://www.epfl.ch) conditional on parallel application to, and acceptance by, the EPFL Doctoral School (http://phd.epfl.ch/applicants). Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

 

Interested candidates are invited to submit a cover letter, a detailed CV, and the names of three references through the Idiap online recruitment system:

PhD position in deep learning for natural language knowledge extraction