We are seeking a highly motivated postdoc to develop real-time machine-learning algorithms for online decoding of neural activity (ECoG and intracortical) underlying overt and imagined speech production. This work will integrate a currently running clinical trial targeting a proof of concept of a speech brain-computer interface and take place in a highly interdisciplinary team and collaborative network developing novel cortical implants, neural data processing and decoding schemes, speech synthesis, and real-time closed loop paradigms.

 

The ideal candidate will hold a PhD in a field related to machine learning, speech and computational neuroscience. He/she will possess a solid background in applied mathematics, signal processing, computer programming (Matlab, C++), and machine learning and artificial intelligence (artificial neural networks) ideally applied to neural data. Proficient English is mandatory, as well as at least one first author publication.

 

 

 

Salary is commensurate with experience (typically 30,000 – 40,000 €/year).

 

 

Location: Grenoble, France.

 

 

 

 

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