Internship/ Master Thesis on Computer Vision Applications for 3D Object Tracking

locationsOberkochenFull timeposted onPosted Todayjob requisition idJR_1034196Your RoleWe are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated within a team of scientists and engineers, you will work on research topics in 3D computer vision and robotics. The project is based on high-precision object tracking involving subtasks such as pose estimation, semantic segmentation and so on leveraging both geometric and deep-learning methods from computer vision. Your roleFamiliarize with the state-of-art in pose estimation and tracking applicationsDevelopment of the hardware experimental setup based on the use-caseImplementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer visionValidation of the results with test measurementsEvaluation of the technical feasibilityDocumentation of the experimental outcomes & test resultsYour ProfileA background in the STEM area (computer science, robotics engineering, electrical engineering)Currently enrolled in a master’s degree program at a top universityPrior experience with at least one programming language such as C++ or PythonGood theoretical background in linear algebra, optimization, and computer vision methodologiesExperience with CAD modelling software for 3D printing prototype objects will be beneficialDemonstrable applied experience with the computer vision (such as OpenCV, PCL, Open3D) and deep learning libraries (Tensorflow/ Pytorch) will be beneficialSelf-motivated and independent working style along with a curiosity for diving into challenging topics that push the state-of-the-art​As a student, you will work on an equal footing with your colleagues, you will gain deep insights into a company that creates products for the world of tomorrow, and you will create ideal conditions for your later careerJoin us today. Inspire people tomorrow.Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.Apply now! It takes less than 10 minutes.