Sending applications for this position is currently not working. Try again later.

Bachelor/ Master Thesis - Deep Learning (f/m/d)

Working Student, Part-time · Munich

NavVis bridges the gap between the physical and digital world. With market-leading products like NavVis M6, NavVis VLX, and NavVis IndoorViewer, we empower our customers to capture and share the built environment as photorealistic digital twins.

Operating from offices in Munich, New York, and Shanghai, we employ over 200 people from more than 40 countries. Our company culture comprises people from all walks of life, including technologists, photographers, yoga practitioners, video gamers, runners, musicians, and more.

The Mapping and Perception team develops the software components for and around NavVis’ mobile mapping systems that enable simple, fast and large-scale mapping. A key focus is on building an accurate, realistic and complete reconstruction of the mapped environment that makes its representation useful for many applications.

Join us today!  For more information, visit
You will work on:
  • Literature research on pointcloud noise suppression and surface reconstruction.
  • Reproducing deep learning based pointcloud noise suppression and surface reconstruction results from literature.
  • Adapting approaches to be more appropriate to room scale scans from mobile scanners, since most published approaches focus on isolated objects of limited size.
  • Improving models and approaches to produce more accurate results on data from mobile scanners. (Optional for Bachelors thesis)
  • Making sure inference is capable of running on large scale pointclouds in acceptable time. (Optional for Bachelors thesis)
  • Creating training / evaluation data from simulation and real reference scans.
  • Training and validation of improved models on simulated and real data.
  • Comparing and evaluating results from classical and deep learning based approaches.
You have:
  • Done successful coursework in deep learning
  • Experience in Python specifically Numpy and Pytorch or Tensorflow
  • Excellent problem-solving skills
  • An independent, structured, and results-driven way of working
  • Interest in 3d reconstruction and mobile mapping systems
You are:
  • A student of computer science or related field (Electrical and Computer Engineering, Computational Science or similar)
  • Motivated to push the boundaries of large scale 3d reconstruction
We will be thrilled if you have:
  • Experience with C++ especially using Tensorflow and PCL
  • Experience with ROS and Linux
  • Implemented a deep learning project before
  • A clean coding style and experience using TDD
  • Knowledge of classical SLAM, calibration, pointcloud filtering, image processing, lidar data processing or sensor fusion techniques
  • Good contact to a professor or PhD student that may be willing to supervise you from the academic side (We can help finding a supervisor if you do not)
About us


NavVis is a fast-growing technology company with a singular purpose – to bridge the gap between the physical and digital world. With groundbreaking innovations like NavVis VLX, NavVis M6 and NavVis IVION, we empower our customers to capture and share the built environment as photorealistic digital twins.

We recognize that our achievements at NavVis are underpinned by a key ingredient: people. It's the joint efforts of talented and passionate individuals that drive our engine of success. Our offices in Munich, New York, and Shanghai employ over 200 people from more than 40 countries, and they’re positively thriving in a unique company culture that’s inclusive, diverse, and family-friendly.

This is the place where you might experience a “eureka” moment when you hear our Chief Technology Officer explain the latest advances in our software platform. Or you’ll learn about developing the best angle in a client conversation from our Global Head of Sales. Then again, maybe you’ll volunteer to become a trainer at our NavVis University, engaging your colleagues with topics like programming or intercultural communication (or bike polo).

Would you like an opportunity to drive innovation in the enterprise, AEC, and laser scanning industries? Work alongside supportive colleagues towards clear aims? Learn new skills and develop your career? Send us your application today!


  • Take ownership and make an impact, whether you’re building high-tech products or client relationships
  • Flexible working hours
  • Commuting made easy with a location in the heart of Munich, Germany, close to great cafes, shops, and transport links
  • Vibrant company culture with social clubs for every interest
  • Learning opportunities with other NavVis colleagues through our virtual "NavVis University”
Your application
Thank you for considering a career at NavVis. Please fill out the following form. In case you are experiencing problems with the document upload, mail your documents to

Please upload any documents that you want to include with your application. CV and cover letter are required, and you should also attach copies of your references and certificates.

Click to select multiple files or use drag-and-drop
Click to select multiple files or use drag-and-drop

Uploading document. Please wait.