Working student (f/m/d) data fusion for autonomous vehicles using machine learning
SIEMENSMuenchenUpdate time: September 19,2022
Job Description
Mode of Employment: Limited; Part time only, internship or thesis possible Your extra treasure of experience. The perception system of an autonomous vehicle processes data from multiple sensors of different modalities to compute an internal representation of the vehicle’s operating environment. Further systems depend on this representation for their specific tasks, ultimately enabling the vehicle’s autonomy. Classical model-based approaches have been successfully used in this context for some time now, but also machine learning-based methods have been producing promising results and are becoming increasingly relevant. Regardless of the choice of components and approaches, the overall system performance must meet strict reliability, transparency and explainability requirements. Change the future with us. Your tasks: Exploration of existing architectures and algorithms Implementation and evaluation of selected algorithms Development of new methods and architectures to achieve high explainability and reliability What you need to make real what matters. You are an excellent student in Computer Science, Engineering, Mathematics, Physics or a related field at a German university You have good analytical skills Experience in sensor fusion or perception is required Knowledge on probabilistic methods is required Experience with machine learning frameworks is an advantage Very good expertise in C++ or Python is a must Experience with ROS is welcome We’ve got quite a lot to offer. How about you? www.siemens.de if you wish to find out more about Siemens before applying. Do you have questions about the application? Here you will find answers to frequently asked questions. If you have more questions please contact: www.siemens.de/fragenzurbewerbung www.siemens.com/careers if you would like to find out more about jobs & careers at Siemens. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. Organization: Technology Company: Siemens AG Experience Level: Student (Not Yet Graduated) Full / Part time: Part-time

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