Master Thesis Sustainable Plastics: Predicting the Aging Behavior of Plastic Composites from End-of-

Bosch Group; Deutschland; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading global engineering company is offering a thesis opportunity focusing on the sustainability of plastic products. The candidate will simulate the effects of temperature and humidity on plastic composites and work on modeling aging processes. Requirements include a Master's background in IT or Mechanical Engineering, proficiency in German and English, and effective communication skills. Enrollment at a university is necessary for this thesis position.

Qualifikationen

• Fluent in German and English.
• Good knowledge of Data Science and Modeling.
• Experience in plastics is an advantage.

Aufgaben

• Review literature on degradation mechanisms and aging models.
• Select a suitable model for aging prediction.
• Conduct aging simulations based on data.
• Compare simulation results with empirical tests.

Kenntnisse

Data Science

Modeling and Simulation

Knowledge of plastics

Effective communication

Ausbildung

Master studies in IT or Mechanical Engineering

Jobbeschreibung

Overview

Bosch is shaping the future by inventing high-quality technologies and services. We aim to grow together, enjoy our work, and inspire each other. The Robert Bosch GmbH welcomes your application.

Job Description

The production of plastic products is still based largely on fossil resources. Plastic recyclates can significantly reduce the CO₂ footprint and improve product sustainability. However, current use of recyclates, especially post-consumer recyclates, requires more knowledge about aging during service life on the material state of plastics, particularly engineering plastics used in the automotive sector.

Within the scope of this thesis, the influences of temperature and humidity over a vehicle’s lifetime on the material condition of plastic composites will be simulated. The goals of the thesis are:

• Review the literature on degradation mechanisms and existing models describing the aging of plastic composites.
• Cover the selection of a suitable model for predicting in-service aging.
• Predict material properties by aging simulations based on experimental and literature data.
• Compare simulation results with findings from empirical tests (components from end-of-life vehicles, artificial aging).

Qualifications

• Education: Master studies in IT, Mechanical Engineering or comparable
• Experience and Knowledge: good knowledge of Data Science, Modeling and Simulation; experience regarding plastics is an advantage
• Personality and Working Practice: you communicate effectively, work in a structured manner, and are motivated to contribute your ideas to the team
• Languages: fluent in German and English

Additional Information

Start: according to prior agreement

Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are firmly anchored in our corporate culture. We welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?

Tobias Baeyens (Functional Department) | [phone]

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