At Myant, we are creating the world’s first textile computing platform, integrating technology directly into the only thing we’ve been wearing our entire life – clothing. SKIIN is our first consumer facing brand, and SKIIN’s vision is to enhance human ability through connected clothing - think Ironman’s suit, but comfortable. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, doctors, coaches, other IoT devices - without you consciously having to think about it. Imagine a world where you walk into your house and the temperature automatically adjusts to your optimal body temperature, the lights adjust to your mood, or your doctor is aware of the onset of a disease before you even visit. The line between the digital and physical world is becoming increasingly blurry, and we believe textile is the next medium to bridge that gap.
We’re looking for people who believe in our mission to make wearable technology truly ubiquitous and convenient, so that everyone can benefit from it. We are a cross-functional team solving big challenges at the intersection of fashion, electronics, software, and data science.
You will join a multidisciplinary team of researchers and engineers, to develop algorithms and signal processing techniques for analysing various biosignals, and/or activity signals, and extracting information, events and trends, off-line and in real time.
You will develop models to extract information from long-term individual-specific data. You will be engaged in solving problems that currently do not have well defined solutions and should take ownership of your deliveries, while supporting others in the team in their projects, in a fast-pace environment.
Develop robust and efficient signal processing algorithms to analyze vital signs (ECG, EEG, EMG, EOG, pulse, temperature, etc.)
Develop algorithms for recognizing events, and trends from biosignals.
Extracting medically recognized information from fusing different biosignal data (i.e. sensor fusion)
Develop models that are trained in real time based on personal data
Work with the team to use machine learning techniques in designing extremely robust and real-time algorithms for deployment across different platforms such as firmware, cloud and mobile
Design protocols and methods for testing and validation of different sensors
Master or PhD in Electrical Engineering, Biomedical Engineering, or signal processing
Previous professional experience working on complex data processing for the following bio-signals:
Electrophysiological biopotentials (ECG, EMG, EEG, BIA, ...)
AND/OR other biosignals (PPG, fNIRS, sound, temperature)
AND/OR human biomechanical signals (IMU, strain gauge, pressure, vibration...)
A strong technical background in developing physiological signal processing algorithms with sufficient understanding of the related mathematics
Solid understanding of machine learning/deep learning techniques
Experience of coding in Python, MATLAB
Familiar with parameter estimation and feature extraction
Knowledge on human physiology, medical applications, and/or bioinstrumentation is a bonus
Experience in developing procedures for human biosignal recording in clinical environments is a bonus.
Experience in coding in C/C++ and/or Java is a bonus.
Experience in firmware and/or software development is a bonus.
Experience in Industry and regulated Biomedical device development is a bonus.
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