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

Employer
Henkel
Location
Düsseldorf, North Rhine Westphalia, Germany
Salary
Competitive
Closing date
Dec 10, 2024
View more categoriesView less categories
Discipline
Physical Sciences, Engineering
Position Type
Full Time
Job Type
Other
Organization Type
Other Corporate

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 methods in 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

WE ARE PIONEERS AT HEART FOR THE GOOD OF GENERATIONS

Our purpose "Pioneers at heart for the good of generations" unites what we stand for, how we work, and forms the basis for our strategy.

The pioneering spirit of our company founder, Fritz Henkel, is what continues to differentiate us and unites Henkel employees worldwide. The ambition and motivation to work together on the solutions of tomorrow. Today. Every day. We do this not only for ourselves, but also for future generations, because we share a common responsibility.

Building on a strong legacy of more than 145 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings. 

Worldwide locations and an international culture shape our global footprint.

Henkel products and technologies are available worldwide. With employees from 124 nations and locations around the world, we achieve a strong presence both in mature and emerging markets. 

 

 

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