Master thesis in the field of “Application of Artificial Intelligence (AI) for modeling and con[...]

Freudenberg; Weinheim (Kernstadt); Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading company in technology innovation is seeking a Master of Science graduate in mechanical, process, or plastics engineering. The role focuses on implementing and optimizing machine learning models for edge devices, requiring strong programming skills in Python and practical experience in control engineering. This position offers a dynamic work environment that encourages creativity and initiative.

Qualifikationen

• Very good practical experience in machine learning, control engineering, or software engineering.
• Knowledge of injection molding or OPC UA interfaces is desirable.
• Commitment, flexibility, initiative, and creativity are essential.

Aufgaben

• Implementation of models for online adaptation of machine setting data on edge devices.
• Optimization of models for online quality prediction.
• Validation of various approaches to machine control.

Kenntnisse

Machine Learning

Control Engineering

Software Engineering

Python

Edge Computing

Ausbildung

Master of Science in Mechanical Engineering

Master of Science in Process Engineering

Master of Science in Plastics Engineering

Tools

OPC UA

Injection Molding

Jobbeschreibung

Working at Freudenberg: We will wow your world!

Responsibilities:

1. Master of Science study in the field of mechanical engineering, process engineering, plastics engineering or related fields
2. Very good practical experience in at least one of the following areas: Machine Learning, Control Engineering, Software Engineering
3. Very good knowledge and programming experience in Python
4. Experience with edge computing
5. Knowledge of injection molding or OPC UA interfaces is desirable
6. Commitment, flexibility, initiative and creativity

Qualifications:

1. Implementation of models for online adaptation of machine setting data on edge devices
2. Optimization of models for online quality prediction
3. Validation of various approaches to machine control

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

Freudenberg Technology Innovation SE & Co. KG