At Intheon, our vision is to embed advanced neurotechnology into everyday life. We offer a middleware platform for biosignal interpretation, which is easily integrated into existing mobile and desktop applications through a cloud API. NeuroScale™ empowers developers to rapidly create transformative brain- and body-aware applications impacting medicine and health, interactive technology, marketing, education, and more.
Deep Learning Research Engineer – Neurotechnology
We are seeking a highly talented and motivated research engineer who is fascinated by the latest developments in ML/AI and is looking for the most exciting, challenging, and high-impact areas to apply them. You will be part of team of senior researchers and engineers where you will focus on designing and implementing advanced brain-computer interface technology using state of the art deep learning techniques. Your research & development will help power the coming generation of brain-based human-machine interfaces where neurotechnology is integrated into everyday life.
- You will work directly with senior staff on developing new methods for applying deep learning on EEG and other physiological data.
- You will write production-grade code and train Brain-Computer Interface models on large amounts of EEG data.
Staff Scientist – Neuroscientist
Taking advantage of large-scale electrophysiological (e.g. EEG) data is essential for training robust powerful machine learning systems capable of decoding brain state in complex environments. At Intheon you will be responsible for developing and applying technologies for large-scale EEG data analysis, powering the coming generation of brain-based human-machine interfaces where neurotechnology is integrated into everyday life.
- You will work directly with our senior staff on advancing the state of the art in large-scale EEG data processing and management.
- You will develop new computational methods for combining EEG features across multiple studies (meta-analysis).
- You will interpret analysis results and publish them in scientific journals.
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