Master Thesis: »Machine Learning
2 semanas atrás
The »High-Performance Cutting« department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM) simulations and offer time-saving benefits. We are looking for a dedicated and motivated student to assist us in implementing a novel Graph Neural Network based algorithm that can act as surrogate for FEM and accelerate process stability calculation for machining process.What you will doInvestigate various ML-based methods and their suitability as a surrogate for FEMCreation and preparation of dataset for appropriate use cases Implementation of selected ML model and validation of resultsPreparation and documentation of resultsWhat you bring to the tableYou are studying mechanical engineering, industrial engineering, computer science or a comparable subjectYou have good experience in PythonYou have basic knowledge of the theory and methods in machine learningGood language skills in German and/or EnglishWhat you can expectProfessional supervision and collaboration in a dedicated teamYou become part of the team from the very beginning, can contribute your ideas and take on tasks on your own responsibilityA state-of-the-art machine park equipped with edge cloud systems and 5G infrastructureWe 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. Interested? Apply online now. We look forward to getting to know youFor any further information on this position please contact:Aakash Singh M.Sc.Research Assistant »High Performance Cutting«Phone: Fraunhofer Institute for Production Technology IPT " target="_blank" rel="noopener"> Requisition Number: Application Deadline: [Not translated in selected language]
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Bachelor-/ Master Thesis: »Tool Wear meets Federated Learning«
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Portugal Startseite Fraunhofer-Gesellschaft Tempo inteiroAt 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 »High-Performance cutting«, we deal with high-quality requirements in the metal cutting industry, especially in highly regulated sectors such as aerospace.As part of your...
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BT/MT: »Deep learning and machine learning in production«
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Machine Learning Specialist
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Machine Learning Specialist
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Portugal WINPROVIT Tempo inteiroEstamos à procura de um(a) MLOps Engineer Sénior para integrar a equipa de AI Engineering, atuando na operacionalização de modelos de Machine Learning em ambientes produtivos, com foco em fiabilidade, automação e impacto no negócio. 🎯 Principais responsabilidades - Operacionalizar modelos de Machine Learning em produção (end-to-end) -...
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Portugal Startseite Fraunhofer-Gesellschaft Tempo inteiroAt the Fraunhofer IPT in Aachen, more than 530 employees are working every day to make the production of the future more digital, more flexible, and more sustainable. In the »Laser Systems and Heating Technologies« group, we develop innovative laser systems for the modern production of the future. Our unique machinery at the Fraunhofer IPT covers...