The LIIR lab of the Department of Computer Science (https://liir.cs.kuleuven.be) at KU Leuven, Belgium has several openings for PhD researchers.
The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research using deep learning. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Send your CV and motivation letter to Prof. Sien Moens (sien dot moens at cs dot kuleuven dot be) before May 16, 2018 indicating which position you are applying for. The open positions are specified in more detail below:
* PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC Advanced Grant CALCULUS. The position starts September 1, 2018.
Prerequisites: motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of machine learning, including deep learning and learning of latent variable models.
* PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on models that efficiently parse language in real-time. This PhD position will be funded by the ERC Advanced Grant CALCULUS. The position starts September 1, 2018.
Prerequisites: motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, semi-supervised machine learning, and constrained optimization.