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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. Additional details are available at http://myant.ca/.
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). Additional details are available at https://sites.google.com/view/lnsbsp/home.
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.
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. The position is funded for one year with possibility of extension.
Applications should include a CV, a statement of research interests (max 1 page), and the contact info of three academic advisors, ALL IN ONE PDF.
Please contact Dr. Milad Lankarany (milad.lankarany@gmail.com)/Mr. Milad Alizadeh (miladam@myant.ca) if you are interested.
Duties and Responsibilities
Qualifications
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. Additional details are available at http://myant.ca/.
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). Additional details are available at https://sites.google.com/view/lnsbsp/home.
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.
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. The position is funded for one year with possibility of extension.
Applications should include a CV, a statement of research interests (max 1 page), and the contact info of three academic advisors, ALL IN ONE PDF.
Please contact Dr. Milad Lankarany (milad.lankarany@gmail.com)/Mr. Milad Alizadeh (miladam@myant.ca) if you are interested.
Duties and Responsibilities
- Conceive, design, simulate, verify and integrate electronic circuits for biomedical applications (sensing bio-signals and actuating the body)
- Leverage appropriate software, tools, and applications to solve biomedical problems
- Write and utilize scripts/programs for data acquisition and analysis (e.g., R / Python / MATLAB)
- Participate and contribute to methodological research including but not limited to the development of biomedical circuits and systems
- Work independently to meet deadlines
- Train with leading computational and electro-physiological scientists
Qualifications
- Ph.D. in Electrical/Biomedical Engineering
- Strong circuit analysis/debugging and PCB bring-up
- Experience with biomedical circuits and systems
- Experience with analyzing electrophysiological data, e.g., ECG, EMG and EEG.
- Experience with Microcontrollers
- Knowledge in Machine Learning and Signal Processing
- Knowledge of Wearable Technology
- Experience with Programming languages, e.g., R/ MATLAB/ Python