Postdoctoral Researcher in Robot Shared Control for Autonomous Navigation

Updated: about 2 months ago
Job Type: PartTime
Deadline: 14 Aug 2024

17 May 2024
Job Information

ETH Zürich
Research Field

Computer science » Programming
Computer science » Other
Engineering » Mechanical engineering
Engineering » Other
Researcher Profile

Recognised Researcher (R2)

Application Deadline

14 Aug 2024 - 21:59 (UTC)
Type of Contract

Job Status

Hours Per Week

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?


Offer Description

Postdoctoral Researcher in Robot Shared Control for Autonomous Navigation

Are you a highly motivated and enthusiastic researcher or engineer looking to make a difference in the field of Embodied AI for Robotics and assistive devices? Join us at the Spinal Cord Injury Artificial Intelligence - SCAI Lab  at ETH Zurich.

Our team of clinical and research scientists is dedicated to improving the long-term prognosis of Spinal Cord Injury (SCI) through new healthcare systems using physiological and clinical data analysis. We are excited to embark on a new project that will bring us closer to delivering freedom of motion through novel personal mobility solutions.

This position is open for a postdoctoral researcher in the field of perception for autonomous robot navigation or mobile robot control in complex environments The focus of this work will be on achieving fast and efficient scene understanding for navigation with a highly dynamic mobility device in collaboration with a Swiss startup.
Apart from actively shaping our group's research, the positions include international collaborations with academia and industry, mentoring MSc, and PhD students, and the potential for transitioning to work with our robotics industrial partner.

Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will supervise the successful researcher. 

The position is fully funded for 1 year with yearly renewal possible. Ideal starting date: July 2024 (or shortly thereafter).

Project background

In this project, we are focused on advancing scene understanding through onboard sensing, enabling real-time evaluation of the environment for full autonomy and shared control with dynamic path planning. Our goal is to leverage advanced real-time sensor fusion and a novel personal mobility device  to achieve highly reactive shared control at different levels of autonomy.

As a team member, you will experience a range of exciting challenges, including multimodal data analysis, developing innovative technologies, and collaborating with leading experts in the field.

You will be based at ETH Zurich and collaborate with the team at the Swiss Paraplegic Center (SPZ) in Nottwil.

Job description

As the team lead for this exciting project, you will have the opportunity to work with a group of researchers to investigate the most efficient methods for sensor data fusion, training new algorithms for improving state-of-the-art scene understanding and tracking for accurate navigation in complex scenarios.

You will investigate scene understanding for shared control navigation with a novel personal mobility device developed specifically for close interaction with pedestrians and narrow spaces. Advanced scene understanding from onboard sensing should allow real-time evaluation of the environment for shared control with dynamic obstacle avoidance and planning.

If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you.

Join us and help shape the future of shared control navigation and personal mobility devices.

Your profile

You have outstanding experience in mechatronics systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot navigation control or deep learning optimization for sensor fusion.

  • Highly motivated, self-driven, and shows excellent performance.
  • You have first-rate oral and written English skills and an interest in writing are required.
  • Adaptable and flexible to the continuous changes associated with research demands.
  • Strong robotics experience (ROS) for mobile systems, either in navigation, localization or control (preferred)
  • Confirmed publication on some of the methodological areas of interest: mobile robots, multi-sensing fusion, time series modelling, or computer vision.
  • Strong practical skills in field robotic systems.
  • Strong experience with good coding practices in C/C++/C# and Python.

We offer

This is a unique opportunity to be at the forefront of cutting-edge research in AI embodied for robots, working with state-of-the-art technology and collaborating with some of the brightest minds in the field. If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you. Join us and help shape the future of shared control navigation and personal mobility devices.

We offer a full-time research position (100%) with a competitive salary in accordance with ETH standards .

The work location is at ETH Zurich with flexibility for remote work.

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 (2 pages max),
  • Statement of interests and profile match (1 page),
  • One of your publications on a related topic and linked to a code sample,
  • Names and contact information of 2 references,
  • Applications will be processed regularly until the position is filled.

    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 . Questions regarding the position should be submitted 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.
    Research Field
    Computer science
    Years of Research Experience
    4 - 10

    Research Field
    Computer science
    Years of Research Experience
    4 - 10

    Research Field
    Years of Research Experience
    4 - 10

    Research Field
    Years of Research Experience
    4 - 10

    Additional Information
    Website for additional job details

    Work Location(s)
    Number of offers available
    ETH Zürich
    Postal Code
    Rämistrasse 101

    Where to apply


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