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

TN Germany; Düsseldorf; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Simulation and Machine Learning Engineer, where you will lead innovative projects that challenge the status quo. Collaborate with a diverse team to develop cutting-edge models and optimize adhesive applications, ensuring reliability in electronic components. This role offers a unique opportunity to make a significant impact in the industry while growing your skills in a vibrant culture that values diversity and creativity. Embrace the chance to contribute to sustainable growth and explore new paths in your career.

Qualifikationen

• Master's degree in relevant fields required.
• Experience in machine learning and data statistics essential.
• Strong analytical and problem-solving skills needed.

Aufgaben

• Lead projects in simulation and modeling of adhesives.
• Automate material card creation using machine learning.
• Develop CFD and FEA models for electronic applications.

Kenntnisse

Python

Machine Learning

Data Statistics

Ansys Fluent

Abaqus

Analytical Skills

Problem-Solving Skills

Communication Skills

Ausbildung

Master's Degree in Mechanical Engineering

Master's Degree in Physics

Master's Degree in Computational Science

Master's Degree in Mechanics

Tools

Ansys Fluent

Abaqus

Jobbeschreibung

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Client:

Henkel

Location:

Job Category:

-

EU work permit required:

Yes

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Job Reference:

d81fe94e3ead

Job Views:

2

Posted:

25.04.2025

Expiry Date:

09.06.2025

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Job Description:

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
• 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
• 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 not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.