Researcher: ML and AI expert - (R2)

The Department of Computer Applications for Science and Engineering (CASE) participates in a 5-year European project focused on advanced Human Language Technologies (HLTs). To advance that initiative, we seek a Researcher, who will embark in the development of algorithms to make learning machines ultimately capable of reliably comparing the semantic contents of two texts within languages and across them. This application belongs to the general area of Machine Learning (ML) and Artificial Intelligence (AI) applied to Natural Language Processing (NLP).



We already established a true semantic distance between two texts as an Earth Mover's distance (Optimal Transport - OT) between the semantic probability distributions representing each adequately tokenized and segmented text. The text semantics are encoded as high dimensional vector embeddings, that constitute the context-aware representation of written hum...