Intern (m/f/d) Surface Extraction Algorithms for Microwave Imaging

Your tasks

• A thorough review of existing literature on surface extraction in 2D and 3D computer vision
• Deep Surface Reconstruction: Investigation of Machine learning / Deep Learning-based methods vs traditional methods
• Exploration of selected surface extraction frameworks and algorithms, applied to 2D and 3D Microwave Imaging
• Development of new concepts and methods for solving surface extraction from 2D/3D Microwave Imaging in general

Your qualifications

• Studies in the field of Computer Science, Informatics, Mathematics, Electrical Engineering, Physics or similar
• Solid theoretical background in image processing techniques, 3D Computer Vision and 3D Computer Graphics
• Solid theoretical background in Machine Learning and Deep Learning in particular
• Practical experience with applied Deep Learning Models for 2D/3D image data, Python and Deep Learning frameworks like Tensorflow, KERAS and pyTorch
• Excellent performance in your field of studies in both theory and practice

Interested?

We are looking forward to receiving your application! If you have any questions, please feel free to contact your recruiting contact at any time.
We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 6627
Recruiting contact: Verena Kral City/regionMunich (Germany)Entry levelInternsEmployment TypeFull-time, limitedRef. Number6627