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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot NavigationFraunhofer-Gesellschaft • Stuttgart
Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation

Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation

Fraunhofer-Gesellschaft • Stuttgart
Vor 21 Tagen
Stellenbeschreibung

Advertisement for the field of study such as: Automation Technology, Electrical Engineering, Computer Science, Software Design, Software Engineering, Technical Computer Science or comparable.

In the Navigation of Mobile Robots group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots. We are looking for a motivated student to join us and help with software implementation and evaluation tasks. If you enjoy programming, trying out new ideas and implementations and contributing to our navigation software stack, this will be an excellent opportunity to get to know the landscape of autonomous robot navigation.

Be part of change

Your work will include implementing features in multiple software components such as robot localization, drivers and infrastructure, as well as testing and evaluating new ideas and promising approaches from research publications and open source releases. You will test and deploy the software on the real robots in our test environments. Some of the first tasks will be helping with integration of a new remote control system into our track-drive robot CURttrac, and investigating the use of Visual Odometry in our localization solution.

What you contribute

  • Valid enrollment at a German university or Hochschule
  • You will support the team through regular on-site work in Stuttgart
  • You have a background in Computer Science, Software Engineering, Electrical Engineering, Autonomous Systems or similar
  • You already have some experience with C++ and Linux
  • It's a plus if you have already worked with one or more of the following: ROS 2, computer vision, pointcloud-processing, machine learning, docker, git, GitLab CI, Grafana, CAN/CANOpen, Python, Rust
  • Enthusiasm for mobile robotics
  • Fluent in English or German

What we offer

  • Future possibility of doing university projects or bachelors/master thesis building upon your work
  • Cutting-edge technology in the field of outdoor mobile robotics
  • Hands on with our robots on our own test environments in Stuttgart
  • Take on responsibility and freedom to implement your own ideas
  • Work with the best students in their discipline

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the federal government guidelines for intern salaries.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Frau Jennifer Leppich

Recruiting

+49 711 970-1415

Fraunhofer Institute for Manufacturing Engineering and Automation IPA

Requisition Number: 85105 Application Deadline:

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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation • Stuttgart

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