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Internships (Industrial or Research) on Body Modelling and Sensing Technology for Health Care in SCI
This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction.
Keywords: Machine learning, time-series, HR, ECG, BP, wearables, nearables, Medical and health science, healthcare, Android studio, App development
ETHZ-SPZ Industrial or Research Internship at ETH-Zurich in collaboration with the Swiss Paraplegic Center (SPZ) at Nottwil. Within the framework of lifelong medical and social care, we are working with the SPZ to understand the causes and model the human body conditions resulting from spinal cord injury.
ETHZ-SPZ Industrial or Research Internship at ETH-Zurich in collaboration with the Swiss Paraplegic Center (SPZ) at Nottwil. Within the framework of lifelong medical and social care, we are working with the SPZ to understand the causes and model the human body conditions resulting from spinal cord injury.
• Assisting in sensory-systems development and validation studies
• Participate in an interdisciplinary team in developing and testing new technology for SCI individuals
• Create algorithms, data gathering and exploration while interacting with different projects on motion analysis, rehabilitation & embodied sensing from continuous bio-signal data from wearables (ECG, HR, RR, BP, Acc) {60%}
• Validation and testing, including benchmarking with ML methods
• Writing documentation and developing new datasets
• Assisting in sensory-systems development and validation studies
• Participate in an interdisciplinary team in developing and testing new technology for SCI individuals
• Create algorithms, data gathering and exploration while interacting with different projects on motion analysis, rehabilitation & embodied sensing from continuous bio-signal data from wearables (ECG, HR, RR, BP, Acc) {60%}
• Validation and testing, including benchmarking with ML methods
• Writing documentation and developing new datasets
- Work within a team of interdisciplinary health professionals
- Get involved in projects with direct translational applications to healthcare
- Learn and investigate Machine Learning methods for healthcare
- Develop new data-driven models of the body and diseases
- Build personalized devices and sensor systems
- Develop algorithms to aid the decision-making process in therapeutic and clinical settings
- Experience industry-level data processing and management systems
- Work within a team of interdisciplinary health professionals - Get involved in projects with direct translational applications to healthcare - Learn and investigate Machine Learning methods for healthcare - Develop new data-driven models of the body and diseases - Build personalized devices and sensor systems - Develop algorithms to aid the decision-making process in therapeutic and clinical settings - Experience industry-level data processing and management systems
**Industrial Internship**
**Research Internship**
**Master Thesis & Semester Projects**
Any of the following:
- Knowledge or interest in healthcare systems
- Interest in participating in clinical research
- Interest in biosignal processing, anomaly detection algorithms, and Machine Learning (ML)
**Industrial Internship** **Research Internship** **Master Thesis & Semester Projects** Any of the following:
- Knowledge or interest in healthcare systems - Interest in participating in clinical research - Interest in biosignal processing, anomaly detection algorithms, and Machine Learning (ML)
Please send a short motivational email with CV, the latest transcript of records to Dr. Diego Paez (diego.paez@hest.ethz.ch)
Please send a short motivational email with CV, the latest transcript of records to Dr. Diego Paez (diego.paez@hest.ethz.ch)