What's the role?
This position is within the Corporate Research Department, part of the Computer Vision and AI team. You will work with deep learning algorithms for image and point cloud segmentation and analysis, gaining hands-on experience with laser scanners and prototypes to collect real-world data as a foundation for your research.
The start date is flexible according to the student's availability, with a minimum duration of 6 months.
What does the role involve?
In this role, you will work with 360-degree videos and LiDAR point clouds captured from construction sites, with regular visits to sites to gather additional data. You will leverage foundational models, such as SAM, to segment and classify images and point clouds. You'll be part of a team advancing state-of-the-art methods for understanding construction progress and laying the groundwork for downstream algorithms, including LLMs and RAG systems, to access and utilize the data. Additionally, you'll gain experience with algorithms for 3D reconstruction and SLAM (Simultaneous Localization and Mapping). This role offers an excellent opportunity to learn and explore cutting-edge technologies.
What you need is:
* Enrolled in a Bachelor’s / Master’s program in Computer Science / AI or similar for the entire internship period
* Proficient in Python (C++ optional)
* Familiarity with at least one machine learning frameworks (Pytorch, Tensor Flow, …)
* Hands-on experience with image and point cloud processing (Open3D, PCL, …) is a plus
* Fluency in spoken and written English
Why should you apply?
About you: you are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies, where a job title is not considered a final destination but the starting point.
What do we offer?
Joining our headquarters in Schaan, Nendeln, or Buchs connects you with a diverse community of over 2,100 colleagues from 70 nationalities in a region where Liechtenstein, Austria, and Switzerland intersect. Our employee groups actively support causes like female empowerment and the LGBTQAI+ community and offer leisure activities like mountain biking and tennis. We also provide opportunities for community engagement both locally and internationally. Benefits at our headquarters include shared e-bikes, an on-site gym, dining options, learning opportunities, and relocation support. #J-18808-Ljbffr