The Cooperative Autonomous Systems (CAS) group at AIFB, KIT is looking for a motivated student assistant to support ongoing research projects in collective perception, multi-agent systems, and robotic experimentation.

Our work combines autonomous robots, perception systems, embedded hardware, and machine learning. Depending on your background and interests, you may work on real robotic platforms such as humanoid robots and the Unitree Go2 robot dog, develop perception pipelines, integrate sensors and single-board computers, or support experimental setups and data collection.

Possible tasks include:

• Developing and testing perception systems for robots and intelligent vehicles
• Training, evaluating, or improving AI-based object detection models
• Working with camera, LiDAR, radar, or multi-sensor data
• Preparing datasets, annotations, evaluation scripts, and visualization tools
• Integrating Raspberry Pi, Jetson, Arduino, cameras, sensors, and communication modules
• Supporting hardware setups, robot experiments, and field tests
• Designing and printing small mechanical parts for prototypes
• Exploring lightweight open-source LLMs or vision-language models for robotic applications

The exact topic will be selected based on current projects and your practical skills.

You should have practical experience in at least two of the following areas:

• Computer vision
• LiDAR or radar processing
• Object detection and tracking
• Autonomous-driving datasets such as KITTI, nuScenes, or Argoverse
• Raspberry Pi, NVIDIA Jetson, Arduino, or similar embedded platforms
• 3D modelling and 3D printing
• Foundation models, vision-language models (VLMs), or lightweight open-source LLMs

Experience with Python, PyTorch, ROS/ROS2, Linux, Git, or C++ is helpful, but not required for every task. Knowledge of German is not required.

We are especially interested in students who enjoy building and testing real systems. A polished portfolio is not necessary. Practical project work, robotics hobbies, DIY electronics, student projects, part-time engineering work, or self-built prototypes are all relevant.

Please send your application to: 

1. CV
2. Transcript of Records
3. Short cover letter (maximum one page)

In the cover letter, briefly explain what you have done before in relevant areas. This can include university projects, part-time jobs, personal projects, robotics work, DIY electronics, software development, or other engineering and scientific activities related to computer science, robotics, AI, or electronics.

Please include concrete details where possible: What was your task? Which tools or hardware did you use? What did you build, test, improve, or achieve? At the end, add two to three lines about the topic or direction you would like to work on in our team.

We look forward to your application.