Research Position in Automated Reading of Documents KU Leuven, Leuven Informatics Section Belgium

AUTOMATED READING OF DOCUMENTS

 

 

We offer a research position for one year (can be prolonged) in a team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study well-informed theoretical models as well as challenging applications, often empowered by big data sets. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations the research of the team connects to other disciplines including speech processing, computer vision, data mining, cognitive science, and human-computer interaction.

 

Responsibilities

The research is carried out in the frame of the SaaS project (Self-learning SaaS platform for simplification of data-intensive customer experiences). The goal is to design, develop and test novel machine learning models that are self-learning and can be applied for real-time processing of unstructured or semi-structured documents. Special attention will go to deep learning models relying on character-based or word-based representations of content. 
 

Profile

The ideal candidate has a PhD or master degree in computer science or equivalent degree, has excellent study results, good knowledge of English, in addition to knowledge of French or Dutch, and has a motivated interest in machine learning and text mining. In case of a master degree, we expect demonstrable experience in machine learning.
 

Interested?

For more information please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be.
 

You can apply for this job no later than December 31, 2018 via the online application tool


KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.


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