Open Positions

Project B6: Neural Feature and Representation Learning for Information Density Based Translationese Classification

PIs:  Josef van Genabith, Raphael Rubino

In this project we are using deep learning and information theory to model key aspects of human and machine translation. The objective is to better understand human translation to improve machine translation.

PhD Student (TV-L 13 75%) –  in Deep Learning for Modelling Machine Translation and Human Translation. Requirements: MSc/MA (or BSc/BA) in Natural Language Processing, AI or Computer Science. Strong programming, mathematics, problem solving, creativity, analytic capabilities and independent thinking. Strong interest and expertise in language, natural language processing, statistics, machine learning, and deep learning. Able to work well in a team.  Good writing and communication skills in English. German language skills are a plus, but not required.

Postdoctoral Researcher (TV-L 13 50%)  –  in Deep Learning for Modelling Machine Translation and Human Translation. Requirements: PhD in Machine Translation, Natural Language Processing, Machine Learning, AI or Computer Science. Strong problem solving, creativity, analytic capabilities, independent thinking, mathematics, statistics, machine learning, deep learning and software development. Strong track record in international peer reviewed publications. Able to work well in a team.  Good writing and communication skills in English. German language skills are a plus, but not required.