Master Thesis in Multi-Scale Data Analysis of Surface Topography

Robert Bosch Group; Renningen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading company in technology is offering a Master thesis opportunity in Multi-Scale Data Analysis of Surface Topography. The role involves analyzing extensive surface topography data to assess measurement methods and their reliability. Candidates should be enrolled in a relevant Master's program and possess strong analytical skills in MATLAB or Python.

Qualifikationen

• Master's studies in a relevant field required.
• Proficiency in MATLAB or Python for data analysis.
• Very good command of English.

Aufgaben

• Analyze data to characterize roughness parameters at different scales.
• Develop scientific methods for data analysis and categorization.
• Adapt conclusions for practical applications.

Kenntnisse

Proficiency in MATLAB

Proficiency in Python

Knowledge of surface analysis

Ausbildung

Master’s studies in Physics, Mechanical Engineering, Computational Engineering, or Physical Engineering

Jobbeschreibung

Master Thesis in Multi-Scale Data Analysis of Surface Topography

• Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Knowledge of surface topography is indispensable for new advancements in technology. A multi-laboratory study involving over 60 labs has generated a collection of surface topography data, and the first report of the study has been published (see contact.engineering). The data is accessible to the public and includes measurement results obtained using various methods (e.g., optical and stylus), resolutions, probes, and scales.

Responsibilities:

1. The aim of your Master thesis is the analysis of data to characterize certain roughness parameters at different scales and to assess which methods are more reliable and why.
2. Due to the vast amount of data, a scientific method of analysis and categorization is needed to interpret it.
3. The derived conclusions will be adapted in practical applications.

Minimum requirements:

• Education: Master’s studies in Physics, Mechanical Engineering, Computational Engineering, Physical Engineering, or a comparable field.
• Experience and Knowledge: Proficiency in MATLAB or Python for data analysis; knowledge of surface analysis is beneficial.
• Personality and Work Ethic: Motivated, with an interest in scientific work within industry.
• Languages: Very good command of English.

Start: According to prior agreement
Duration: 6 months

Requirement for this thesis is enrollment at a university. Please attach your CV, transcript of records, examination regulations, and if applicable, 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.

Further information:

Charlotte Spies (Functional Department)
[phone]