A post-doctoral position is available at Myant Inc. & Neural Systems & Brain Signal Processing Lab (affiliated with The Krembil Research Institute and University of Toronto).
Myant Inc. is the world’s first textile computing platform, integrating technology directly into the clothing and textiles. The sensors and actuators embedded within the Myant’s apparel connect your body to the digital world, creating a Digital Identity. This data is uploaded to the cloud and can be shared with your doctors, coaches, and family members as well as other IoT devices. As the line between the digital and physical world is becoming increasingly blurry, Myant Inc. predicts that the textile is the next medium to bridge that gap.
The Krembil Research Institute is associated with the Toronto Western Hospital and is one of the largest research institutes in Canada focusing on human neurological diseases from a basic science and clinical research perspective. The University Health Network, Canada’s largest academic hospital network has a strong interdisciplinary research program in vision, spinal cord, regenerative neuroscience and arthritis.
The Neural Systems & Brain Signal Processing Lab (PI: Dr. Milad Lankarany) focuses on the development of computational models and techniques to infer bio-information (e.g., information processing mechanisms of the neural systems) from sparse observations (e.g., electrophysiological recordings).
Research Industry Objectives:
The main goal of this collaboration between Myant Inc. and Neural Systems & Brain Signal Processing Lab is to develop algorithms and technology for extracting bio-information from the body, e.g., EMG, ECG and EEG, and integrate the inferred information with the human behavioral status, e.g., stress, anxiety, sleep apnea, etc. Our ultimate objective is to develop neuro-technology to optimally control human behaviors, particularly those related to the neurological disorders.
Expertise and Skills Needed:
The ideal candidate should have a PhD in Electrical/Biomedical Engineering with a strong experience in electronics. As well, strong quantitative background (ideally in the field of Applied Mathematic/Signal Processing/Machine Learning) is a plus.
If you require additional information, please contact Milad Alizadeh (firstname.lastname@example.org) / Milad Lankarany (email@example.com).