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Student Research Assistance for App development in Biosensing and Healthcare Data (~12 months)
Join a team of scientists improving the long-term prognosis and treatment of Spinal Cord Injury (SCI) through mobile and wearable systems and personalized health monitoring.
Joining the SCAI Lab part of the Sensory-Motor Systems Lab at ETH, you will have the unique opportunity of working at one of the largest and most prestigious health providers in Switzerland: Swiss Paraplegic Center (SPZ) in Nottwil (LU).
Keywords: App development, Machine Learning, Data bases, Data engineering, Systems Engineering, Data Modelling
**Your profile**
- Student of a Swiss university or university of applied sciences (ETH Zurich, EPFL)
- Availability during the semester: ~15 hours/week (1 day/week in Nottwil) - others in Zurich (to be discussed)
- Further availability during semester break: ~3+ days/week, to be discussed
- Knowledge of bash, python and data management principles
- App development (preferred for Android)
- Experience in databases ( preferred) - SQL
- ML and DL experience (preferred)
- Experience with Robotics Operating System (ROS) - (desirable)
**We offer**
- 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.
- Salary: As defined by ETH regulations for student research assistants.
- Flexible working hours, possibility for part-time home office.
- Work within a team of interdisciplinary health professionals at Nottwil Campus (Luzern).
**Your profile** - Student of a Swiss university or university of applied sciences (ETH Zurich, EPFL) - Availability during the semester: ~15 hours/week (1 day/week in Nottwil) - others in Zurich (to be discussed) - Further availability during semester break: ~3+ days/week, to be discussed - Knowledge of bash, python and data management principles - App development (preferred for Android) - Experience in databases ( preferred) - SQL - ML and DL experience (preferred) - Experience with Robotics Operating System (ROS) - (desirable)
**We offer** - 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. - Salary: As defined by ETH regulations for student research assistants. - Flexible working hours, possibility for part-time home office. - Work within a team of interdisciplinary health professionals at Nottwil Campus (Luzern).
We are looking for a student assistant to support the App development and data management plan, data engineering and software stack design.
Create algorithms, tools, and HMI for data retrieval and exploration interacting with different projects on motion analysis, rehabilitation & embodied sensing from wearables.
Analysing data quantity and quality (40%) visualisation and graphical mapping (20%), validation, testing, and benchmarking ML algorithms (30%) and writing documentation (10%).
Starting Date: June 2024 (or shortly thereafter)
We are looking for a student assistant to support the App development and data management plan, data engineering and software stack design.
Create algorithms, tools, and HMI for data retrieval and exploration interacting with different projects on motion analysis, rehabilitation & embodied sensing from wearables.
Analysing data quantity and quality (40%) visualisation and graphical mapping (20%), validation, testing, and benchmarking ML algorithms (30%) and writing documentation (10%).
Starting Date: June 2024 (or shortly thereafter)
Applications: https://www.jobs.ethz.ch/job/view/8633?mw_source=jobs_ethz
Questions regarding the position should be directed to Mehdi Ejtehadi (mehdi.ejtehadi@hest.ethz.ch (no applications).