Job objectives

• Advance neurofeedback training algorithms aimed at reduction of insomnia symptoms.
• Design procedures for analysis and analyse EEG data.
• Implementation of algorithmic improvements into the back-end code.

Key qualifications

• Neuroscientific insight into the wake-sleep transition.
• Knowledge of and experience with neurofeedback.
• Knowledge of and experience with BCI technologies (EEG, fNIRS).
• Algorithmic reviews based on EEG data analysis.
• Algorithmic implementation through programming (MATLAB, Python, R).

Preferred qualifications

• Interest in sleep/biohacking.
• Been part of a team developing a product.
• Experience processing EEG signals, and familiarity with filtering techniques.
• Experience with modern statistical inference and machine learning.

Your personality

• Motivated by big challenges.
• Ability to lead others and follow.
• Strong team working skills and ability to work independently.
• Structured, systematic and delivers on your responsibilities.
• Work fast and build solutions that work in practice.

We provide

• Opportunity to focus your energy working on a solution to a worldwide problem.
• Chance to be a part of the neurotechnology revolution.
• Be a part of and help sustain a high-performing environment.
• Competitive base salary, equity, and freedom to work productively.
• Office premise and necessary equipment.
• Free essential medical and care services.
• Insurance & pension.

Application Deadline: July 31, 2020

Tagged as: Computational Neuroscience, EEG, Neuroscience