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technologies such as distributed IT systems, Internet of Things, IoT, cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and photonic technologies, wireless systems (6G
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), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
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Your qualifications as an Ingenious Partner: Completed master's studies in materials science, physics, metallurgy, mineralogy, mechanical engineering, or a related field. Expertise in developing
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to different situations. You will broaden your knowledge and skills in the field of motion planning, machine learning, computer vision, and automation & control theory. You will train in scientific work and have
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scientific peers, but also to connect with other bachelor’s, master’s or PhD students. Your qualifications as an Ingenious Partner: You are studying in the field of: Computer Science, Informatics, IT-Security
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focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic
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environments. The goal is to scientifically quantify at least three different motion planning algorithms in various benchmarking scenarios. Further, you will evaluate the practical feasibility on a real-world
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. The research field Data Science within our Competence Unit “Data Science & Artificial Intelligence ” is leading in applied research of highly innovative aspects for scalable Artificial Intelligence (AI
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and obstacles. You will broaden your knowledge and skills in the field of motion planning, machine learning, and automation & control theory. You will train in scientific work and have the opportunity
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Research Engineer (f/m/d) for AI-Driven Knowledge Management for a Sustainable and Resilient Society
Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong knowledge in AI/ML frameworks (e.g., TensorFlow, PyTorch) and