Research Scientist / Engineer

Context

Karavela is a neuroscience research company established in 2025 and currently based in Paris, France. We build a foundation model of the human brain relying on next-generation magnetic resonance. To do so, Karavela is collecting a very large MRI dataset from healthy volunteers listening to naturalistic stimuli (e.g., audiobooks, podcasts, radio programmes). This dataset is then used to train deep learning models that can reconstruct the stimuli from recorded brain activity. The goal is to leverage the representations learnt by these models in downstream applications, in particular by providing biomarkers for neurological and psychiatric diseases in clinical trials. Karavela is currently organised into 3 teams that each focus on one of the aforementioned aspects: data collection, model development, and clinical applications.

Position summary

Karavela is looking for a research scientist to join the model development team. In this position, you will be responsible for:

• developing and implementing machine learning algorithms to analyse MRI data ;

• collaborating with neuroscientists and clinicians to understand the requirements for brain foundation models and decoding models ;

• evaluating the performance of machine learning models and optimizing them for clinical applications ;

• writing reports and scientific publications to communicate the results of the studies.

Qualifications

The ideal candidate will have:

• MS or PhD in computer science, data science, applied mathematics, bioinformatics, neuroscience or related fields ;

• experience in machine learning, deep learning and statistical analysis, ideally with applications in neuroimaging ;

• excellent problem-solving skills and ability to work in a collaborative environment ;

• strong communication skills ;

Benefits

This position offers:

• open-ended contract (CDI) ;

• competitive compensation, depending on experience ;

• equity options ;

• 25 days of paid time off per year ;

• full-time position in Paris, partial remote work is possible