Internship/ Master Thesis on developing tracking methods for deformable objects (f/m/x)

As an intern or master thesis student, you will develop tracking methods for deformable objects. Your responsibilities include: - Researching and implementing state-of-the-art computer vision and machine learning algorithms for tracking deformable objects in real-time or near-real-time scenarios. - Designing and conducting experiments to evaluate the performance of tracking methods on various datasets, including synthetic and real-world data. - Collaborating with a team of researchers and engineers to integrate tracking solutions into existing systems or prototypes. - Documenting your findings, methodologies, and results in a clear and structured manner, contributing to technical reports or publications. - Participating in regular team meetings to discuss progress, challenges, and next steps. - Optionally, if pursuing a master thesis, you will define a research question, conduct a literature review, and produce a thesis document under academic supervision. This role involves hands-on work with deformable objects such as soft tissues, textiles, or fluids, requiring adaptation of tracking techniques to handle non-rigid deformations, occlusions, and varying lighting conditions.

Qualifications and requirements: - Currently enrolled in a master's degree program in computer science, robotics, electrical engineering, or a related field. - Strong background in computer vision, particularly in object tracking, image processing, or 3D reconstruction. - Proficiency in programming languages such as Python or C++, and experience with libraries like OpenCV, PyTorch, or TensorFlow. - Familiarity with deformable object modeling or simulation is a plus. - Ability to work independently and as part of a team, with good communication skills in English. - Prior experience with research projects or publications is advantageous but not required.

ZEISS是一家全球领先的光学与光电技术公司，专注于制造高精度光学仪器、医疗设备和工业测量系统。