You want to support us to satisfy our customers with our software products? You are motivated to keep our software on the highest level? What are you waiting for … Join our Object Recognition Lab to make our LiDAR technology intelligent and accessible to everyone.
The goal is to transform algorithms and point cloud data into useful applications for customers while focusing on modern design and easy-to-use interfaces. All together with your great team, of course! You will work on innovative software solutions for our world-class LiDAR system and share our enthusiasm for state-of-the-art application development in sensor technology. You will not shy away from the challenges that await us in the fascinating field of data processing and point clouds. We are looking forward to your support and enthusiasm for innovative technology! For your thesis or other student projects we can offer many topics in the fields of: object detection, clustering and tracking, people counting, traffic monitoring, security, smart city and many more.
The listed tasks are examples to illustrate possible topics and research directions. Since we are moving fast new ideas always come up. Just apply and we will discuss suitable topics matching your interest and background. We will ask you to research the problem, discuss the suitable solutions and algorithms and assist you with the implementation of your concept and showcasing the results.
Please understand that theses and student projects are different from a working student position. So unfortunately, we cannot offer compensation for work on such topics.
The following list shows examples and possibilities (relevant technologies in brackets):
⟋ Segmentation, Detection and Clustering of objects/people with a 3D LiDAR (classical Computer Vision approaches)
⟋ Develop methods for tracking objects and evaluate the accuracy of the method (RFS-Bayesian Filtering, JPDA, MHT, PMBM and more)
⟋ Multi sensor setup and sensor fusion
⟋ 3D SLAM on our LiDAR data
⟋ Evaluation of sensor model and simulation with real world LiDAR
⟋ Investigate and improve our ROS2 framework
⟋ Design and implement a GUI for the set up and interaction with our Percept software (python)
⟋ Contribute to the development of our new web interface for 3D data processing (Angular.js)
⟋ You are currently studying computer science or electrical engineering (or similar)
⟋ You have relevant algorithmic background in Computer Vision, 3D data and point cloud processing
⟋ You have good communication skills (oral, written) in English
⟋ Experience with ROS/ROS2/PCL is great
⟋ Experience with Linux, Git, Docker, Continuous integration/ Continuous Deployment is great
⟋ Experience with agile development process is great
⟋ Enjoy free beverages and lunch allowance
⟋ Work in a dynamic environment with quick development cycles and flat hierarchies
⟋ Develop ideas and realize them
⟋ Be part of a great team, that lives and breathes technology
⟋ Make the future of mobility a reality today
⟋ We are one team – everybody pitches in
⟋ “Can do” attitude
⟋ Courage to act and to make decisions
⟋ Things can go wrong, that’s ok
⟋ Friendly and constructive behavior
⟋ We stick together and can rely on each other
We are looking forward to your application, including your CV, transcripts of records and a short cover letter.
Part time and full time possible.
Contact person: Florian Lenz ⟋ email@example.com
Please send a short letter of motivation, your certificates and your CV. We are looking forward to your application!