Overview

2 PostDoc positions
available in Language Technology at the University of Helsinki

– Project: “Natural Language Understanding using cross-lingual grounding”
– Period: 2 years starting in January, 2018 (or as soon thereafter)

The project is run by Jörg Tiedemann at the University of Helsinki and will focus on sentence representation learning and multilingual neural machine translation. The goal is to learn highly abstract language-independent semantic representations from massively parallel data sets and we will test the results on tasks involving natural language inference (NLI) and multilingual (low-resource / zero-shot) machine translation.

PostDoc 1:
– focus on cross-lingual grounding for NLI
– develop and evaluate multilingual sequence-to-sequence models
– vector-based reasoning applied to entailment detection and related tasks

PostDoc 2:
– focus on multilingual machine translation
– transfer learning to support low-resource languages
– zero-shot learning and a study of vector-based “interlinguas”

Company:

University of Helsinki

Qualifications:

Both positions require strong analytic and technical skills with a background (PhD) preferably in computational linguistics or computer science with experience in developing and using models of deep neural networks and sequence-to-sequence models in particular. Previous work on neural machine translation is a plus but not strictly required.

Educational level:

Ph. D.

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