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Simulation and Machine Learning Engineer (d/f/m)
• Düsseldorf, Nordrhein- Westfalen
Simulation and Machine Learning
Engineer (d/f/m) At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of over 47, 000 pioneers around the globe. Our teams at Henkel
Adhesive Technologies help to transform entire industries and provide our customers with a competitive advantage through adhesives, sealants, and functional coatings. With our trusted brands, our cutting-edge technologies, and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth. Dare to make an impact? YOUR ROLE Lead projects related to simulation and modelling of adhesive. Automate and optimize material cards creation using modern methods of machine learning and data-based modelling. Develop and evaluate suitable machine learning methods to predict adhesive behavior. Develop CFD and FEA models for electronic [...] Engineering, Physics, Computational Science, Mechanics, or similar. Advanced knowledge in programming languages for machine learning (e. g. , Python) . Experience in machine learning, artificial intelligence, data statistics, or statistical methods. Advanced experience in the behavior, characterization, and modeling of
materials (e. g. , non-linearity in materials) . Software knowledge in standard modeling tools, e. g. , Ansys Fluent, Abaqus. An innovative spirit, enjoyment of learning, and the ability to inspire your customers and colleagues. Strong analytical and problem-solving skills. Excellent communication skills in English to coordinate with various stakeholders. At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations. JOB ID : 24072203 Contract Job type : Regular-Full Time Contact information for application-related questions : Please do [...]
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