Student Research Assistance for Human-Robot Modelling from Big Healthcare Data (6~12 months)

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Student Research Assistance for Human-Robot Modelling from Big Healthcare

Data (6~12 months)

20%-40%, Zurich, fixed-term

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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).

Project background

SCAI Lab Student Assistant 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.

Job description

We are looking for a student assistant to support the 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 2023 (or shortly thereafter)

Your profile

Student of a Swiss university or university of applied sciences (ETH Zurich, EPFL)

Availability during the semester: 10~15 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

Computer Systems and Network understanding (linux)

Experience in databases (strongly preferred) - SQL

ML and DL experience (preferred)

Experience with Robotics Operating System (ROS) - (desirable)

Your workplace Your workplace 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).

chevronright Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents:

CV

Transcripts

Short motivation statement (<100 words)

Example code with documentation or project report (Github link or other repo)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about HEST can be found on our website www. hest.ethz.ch. Questions regarding the position should be directed to Dr. Diego Paez, Email [email protected] (no applications).

About ETH Zürich

ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Curious? So are we.

We look forward to receiving your online application with the following documents:

CV

Transcripts

Short motivation statement (<100 words)

Example code with documentation or project report (Github link or other repo)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about HEST can be found on our website www. hest.ethz.ch. Questions regarding the position should be directed to Dr. Diego Paez, Email [email protected] (no applications).

Apply online now

About ETH Zürich

ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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