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Simulation and Machine Learning Engineer (d/f/m)

Employer
Henkel
Location
Düsseldorf, Germany
Salary
Competitive
Closing date
Jan 23, 2025
View more categoriesView less categories
Sector
Science, Physical Sciences and Engineering
Contract Type
Employee
Hours
Full Time
Organization Type
Corporate
Jobseeker Type
Professional

Job Details

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
  • You will automate and optimize material cards creation using modern methods of machine learning and data-based modelling
  • You will develop and evaluate suitable machine learning methods to predict adhesive
    behavior
  • You will develop CFD and FEA models for electronic applications with focus on reliability
  • Predicting application behavior of adhesives (e.g. underfill) and lifetime of bonded electronic components (e.g. fracture mechanic analysis)
  • Developing material models based on experimental data and validate simulation results
  • You will be expected to engage with internal and external customers, understand and respond to their needs and ensure that the model is fit for its intended use

YOUR SKILLS
  • Master degree in Mechanical 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 methodsin simulation/engineering
  • Advanced experience in the behavior, characterization and modeling of materials (e.g. flow behavior, non-linearity in materials)
  • Software knowledge in standard modeling tools, e.g. Ansys Fluent, STAR-CCM+, Abaqus, LS-Dyna
  • 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.

Company

About Henkel

HENKEL IS FOR THOSE WHO STEP UP. DO YOU?

At Henkel, you can make a difference and craft your career. That's why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us.

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