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

ETH Zürich, Switzerland

Updated: 11 months ago
Job Type: PartTime
Deadline: 12 Jun 2023

13 May 2023
Job Information
Organisation/Company

ETH Zürich
Research Field

Computer science » Informatics
Computer science » Other
Computer science » Programming
Researcher Profile

First Stage Researcher (R1)
Country

Switzerland
Application Deadline

12 Jun 2023 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Part-time
Hours Per Week

41
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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


    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)

    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).

    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.
    Requirements
    Research Field
    Computer science
    Years of Research Experience
    1 - 4

    Research Field
    Computer science
    Years of Research Experience
    1 - 4

    Research Field
    Computer science
    Years of Research Experience
    1 - 4

    Additional Information
    Website for additional job details

    https://academicpositions.com

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    ETH Zürich
    Country
    Switzerland
    City
    Zurich
    Postal Code
    8006
    Street
    Rämistrasse 101

    Where to apply
    Website

    https://academicpositions.com/ad/eth-zurich/2023/student-research-assistance-fo…

    Contact
    City

    Zurich
    Website

    https://ethz.ch/en.html
    Postal Code

    8006

    STATUS: EXPIRED

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