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Research Assistant in Biosensing for Robotics Care and Body Simulation (~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
We are looking for a student assistant to support a project in standardizing signal processing methods in Robotics. Including data management, data engineering and software stack design.
**Your profile**
- Student of a Swiss university or university of applied sciences (ETH Zurich, EPFL)
- European National (or valid work permit in CH)
- Availability during the semester: ~15 hours/week - (to be discussed)
- Further availability during semester break: ~3+ days/week, to be discussed
- Mobile robots and sensors experience
- Strong knowledge of ROS
- Simulation experience in IsaacSIM (preferred)
- Knowledge of bash, python and data management principles
- 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 a project in standardizing signal processing methods in Robotics. Including data management, data engineering and software stack design.
**Your profile** - Student of a Swiss university or university of applied sciences (ETH Zurich, EPFL) - European National (or valid work permit in CH) - Availability during the semester: ~15 hours/week - (to be discussed) - Further availability during semester break: ~3+ days/week, to be discussed
- Mobile robots and sensors experience
- Strong knowledge of ROS
- Simulation experience in IsaacSIM (preferred)
- Knowledge of bash, python and data management principles - 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).
Create algorithms, tools, and visualization of healthcare biosignal data, applied in ROS for robotic care. Implementing within different projects on motion analysis, rehabilitation & embodied sensing from wearables.
Analysing, data processing (40%) visualisation and graphical mapping (20%), validation, testing, and benchmarking ML algorithms (30%) and writing documentation (10%).
Starting Date: August 2024 (or shortly thereafter)
Create algorithms, tools, and visualization of healthcare biosignal data, applied in ROS for robotic care. Implementing within different projects on motion analysis, rehabilitation & embodied sensing from wearables.
Analysing, data processing (40%) visualisation and graphical mapping (20%), validation, testing, and benchmarking ML algorithms (30%) and writing documentation (10%).
Starting Date: August 2024 (or shortly thereafter)
Applications:
Submit your CV, transcripts and one page of fitting experience to the position.
diego.paez@hest.ethz.ch
Questions regarding the position should be directed to Mehdi Ejtehadi (mehdi.ejtehadi@hest.ethz.ch (no applications).
Applications: Submit your CV, transcripts and one page of fitting experience to the position. diego.paez@hest.ethz.ch
Questions regarding the position should be directed to Mehdi Ejtehadi (mehdi.ejtehadi@hest.ethz.ch (no applications).
