Research Engineer – Neural Signal Processing Full Time

IC Resources
Research Engineer

I am seeking a Research Engineer with strengths in Neural Signal Processing to join a well-funded start-up driven to advance humanity to the next stage of personal computing, by creating a world where everyone has their own non-invasive brain-computer interface device. Think of the possibilities! You’ll be joining at an exciting time alongside a team doing brain-interface hardware, software and brain R&D.

Please note this position is to be based on-site a few days’ a week in London, UK.

Primary responsibilities

• Work alongside a subject matter expert in the research & design of advanced neural signal processing algorithms
• Constructing the signal processing pipeline and applying the algorithms to decode a human intention from it

Required experience

• PhD in a relevant discipline such as Neuroscience, Computer Science, Neural Engineering
• Post-doc and/or industry experience in neural signal processing, including electrophysiology signal analysis
• Experience decoding imagined speech or covert speech from brain recording devices ( invasive or non-invasive )
• Algorithm design for a brain-computer interface ( BCI )
• ML model / Neural Network implementation, PyTorch, TensorFlow
• Neuro-imaging hardware such as EEG, ECoG
• Real-time signal processing
• Python

Desirable

• NIRS experience
• Computational and engineering focused with strong skills in ML applied to neural data

What’s on offer?

• Competitive base and a guaranteed increase at the next funding round
• Share options

Interested? This is an exciting and challenging role for a bright and enthusiastic Research Engineer with excellent career progression opportunities in a growing company. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in London, UK.