One full-time predoctoral researcher with a background in computational neuroscience will be hired for a four-year period. The researcher will work under the direct supervision of the Principal Investigator and will play a key role in implementing and adapting machine learning models for the decoding of bilingual speech and neural data.

Primary responsibilities will include developing and optimizing multimodal analysis pipelines integrating MEG and fMRI data, extracting and aligning linguistic features from transformer-based language models, and contributing to cross-language decoding and model evaluation. The researcher will also support data preprocessing, quality control, and documentation, and collaborate with other members of the project to integrate shared decoding frameworks and explainability tools.

The position offers training in advanced neuroimaging analysis, multilingual AI modeling, and interdisciplinary research at the intersection of cognitive neuroscience and machine learning. The researcher will be encouraged to contribute to scientific publications, conference presentations, and open science practices associated with the project.

The contract is full time and includes an end-of-contract payout in accordance with institutional and funding regulations.