PhD student position in Natural Language Processing (AI/MLX Collaboration Project) at Chalmers.

Information about the project
The Data Science and AI division at the department of Computer Science and Engineering is recruiting a PhD student in natural language processing for a project on developing new training methods for deep contextualized language representations and applying them in NLP applications.

Building programs that understand human language is one of the central goals in artificial intelligence. A recent breakthrough on the way towards this goal is the development of neural models that learn deep contextualized representations of language. However, while these models have substantially advanced the state of the art in natural language processing (NLP) for a wide range of tasks, our understanding of the learned representations and our repertoire of techniques for integrating them with other knowledge representations and reasoning facilities remain severely limited. To address these gaps, this project will develop new methods for the interpretation, grounding, and integration of deep contextualized representations of language.

This is a two-stage call. In the first phase, projects were applied for and evaluated. Approved projects then continued to this, the second phase, where each university open calls for PhD positions. Information about AI/MLX Collaboration Projects can be found in the initial call: https://wasp-sweden.org/positions/wasp-collaboration-projects-within-ai-mlx/

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