PhD Researcher in Machine Learning for Data-to-Text Applications
We are seeking a highly motivated PhD researcher to contribute to a research project focused on the application of machine learning techniques for data-to-text problems.
The successful candidate will join a research group and work on a thesis project related to exploring large language models for generating human-like text from structured data.
The subject of the thesis involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, with an emphasis on software engineering practices, tabular machine learning, and large language models on structured data.
* Developing experimental and simulation facilities where required
* Planning, executing, and analyzing experiments and simulations
* Conducting literature surveys and establishing state-of-the-art
* Contributing to project deliverables, milestones, demonstrations, and meetings
* Disseminating results at international scientific conferences/workshops and peer-reviewed scientific publications
The ideal candidate should have a strong background in machine learning, software engineering, and programming skills, with a commitment to team working, critical thinking, and motivation.
Language Skills: Fluent written and verbal communication skills in English are required. French is a plus.