The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world's leading applied research organization. Around 30 800 employees work with an annual research budget of 3.0 billion euros.
At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department »Production Quality«, we deal with the digitalization of production systems in order to increase quality, resilience and sustainability in production.
Ihre Aufgaben
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Literature research on the topics of deep learning, image augmentation and global optimization methods
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Identification of requirements for the design of efficient augmentation pipelines in production use cases
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Development and implementation of a method for optimizing augmentation pipelines
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Experimental validation based on a practical use case in the field of computer vision (e. g., visual quality control)
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Preparation and documentation of results,
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Professional supervision and support for your thesis
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Participation in innovative research and industry projects with industry partners
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A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Ihr Profil
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You are studying mechanical engineering, industrial engineering, computer science or a comparable subject
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You have first experience in Python
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You have basic knowledge of the theory and methods in machine/deep learning
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A self-responsible and structured way of working
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Good language skills in German and/or English