Signal Processing And Biomedical Engineer

About Us:

Myant Animal Sciences is in the process of realizing a new paradigm in animal health, monitoring, performance, therapy, and rehabilitation management through Skiin, a textile-based solution which uses textiles that can sense biometrics to understand the body, anticipate its needs, and connect animals to their caregivers and preventative care. Our vision is to promote animal health and welfare through accessible and comfortable textile solutions that give animals a voice, enable predictive veterinary care, and provide caregivers with peace of mind and a connection with their animals, even from afar.

Myant Animal Science’s mission is to promote animal welfare by providing caregivers the ability to understand their animals. Through a deeper understanding of how animals respond to their environments, we can shift from a reactive and generalized approach to health and wellness, to a proactive and personalized approach. Through a continuously close connection, caregivers achieve the ultimate peace of mind knowing the animals in their life are healthy and happy.

We are a multi-disciplinary technology team solving big challenges at the intersection of veterinary medicine, electronics, software, and data science.

The Role:

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-paced environment.

Responsibilities:

• Develop robust and efficient signal processing algorithms to analyze vital signs (ECG, EEG, EMG, EOG, pulse, temperature, etc.)
• Develop models that are trained in real time based on personal data
• Design protocols and methods for testing and validation of different sensors
• Extracting medically recognized information from fusing different biosignal data (i.e. sensor fusion)
• Develop algorithms for recognizing events, and trends from biosignals.
• 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

Qualifications:

• Familiar with parameter estimation and feature extraction
• Experience of coding in Python, MATLAB
• AND/OR other biosignals (PPG, fNIRS, sound, temperature)
• AND/OR human/animal biomechanical signals (IMU, strain gauge, pressure, vibration...)
• MSc or PhD in Electrical Engineering, Biomedical Engineering, or signal processing
• Solid understanding of machine learning/deep learning techniques
• Previous professional experience working on complex data processing for the following bio-signals:
• Electrophysiological biopotentials (ECG, EMG, EEG, BIA, ...)
• A strong technical background in developing physiological signal processing algorithms with sufficient understanding of the related mathematics

Bonus:

• Experience in coding in C/C++ and/or Java
• Experience in firmware and/or software development
• Experience in developing procedures for human or animal biosignal recording in clinical environments
• Knowledge of human or animal physiology, medical applications, and/or bioinstrumentation
• Experience in Industry and regulated Biomedical device development

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