
Research Software Engineer
Carsten Schnober
Carsten studied Computational Linguistics and Applied Computer Science at the University of Heidelberg and Speech & Language Processing at the University of Edinburgh. He subsequently worked as a research engineer for the “Institute for the German Language” (IDS Mannheim) and for the UKP Lab at the TU Darmstadt. His academic focus lies on Natural Language Processing and its applications in Digital Humanities and other inter-disciplinary projects.
After moving to Amsterdam in 2017, Carsten worked in R&D labs of different companies with a focus on making NLP, Information Retrieval, and recommender systems applicable for companies in domains including HR, scientific knowledge management, and education technology. Carsten’s development work has focused on NLP techniques like Transformer-based language models (BERT), Neural Information Retrieval, multi-lingual text classifications and domain-specific Named Entity Recognition (NER), while the underlying research oftentimes intersects with fields like linguistics and cognitive science.
Carsten has been an author and editor for different Linux and Open-Source publications for many years. In his free time, he engages in the foundation of an NGO which aims to foster dialogue between philosophers, journalists and technologists about technological infrastructures, with a practical approach.
Carsten has joined the eScience Center in 2022 with the ambition to develop research software with industry standards for inter-disciplinary academic research projects as well as for the rest of the open-source world.
Key skills:
- Digital Humanities
- Information Retrieval
- Linguistics
- Machine Learning
- Natural Language Processing