Internship in MEMS Packaging Simulation – Credibility and Numerical Uncerta at Bosch Group

Reutlingen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ansys Mechanical, PyMAPDL, Python, Statistics, Machine Learning, FEM Modeling, Thermo-mechanical Simulation, Uncertainty Quantification, Gaussian Process, Kriging, Random Forest, Sensitivity Analysis

Industry

Software Development

Description

Company Description 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! Job Description The packaging of MEMS sensors, important components in automotive safety systems and consumer electronics, plays a significant role in ensuring mechanical stability, performance, and long-term reliability. The heterogeneous material composition of these packages leads to thermal expansion mismatches, which can cause high stresses at material interfaces under thermal loading. Although thermo-mechanical finite element simulations are an essential method for understanding stress formation and warpage, the results are influenced by numerical modeling decisions. Factors such as mesh density, element formulation, and solver algorithms can affect the predicted stresses and deformations, introducing model-form and numerical uncertainties that are often not systematically analyzed. Your work during this internship will be based on an existing FEM model of a MEMS packaging structure, which you will use for a structured investigation. You will start by preparing and refining the existing thermo-mechanical FEM MEMS model. Using a structured virtual Design of Experiments (vDOE), you will then systematically vary the numerical modeling parameters. Your analysis will require you to evaluate simulation results, focusing on reliability-relevant quantities like package warpage, interface stresses, and strain distributions. A significant part of your project will be to construct surrogate models (such as Gaussian Process, Kriging, or Random Forest) to approximate the simulation responses. To identify the most influential factors, you will conduct a sensitivity analysis on the dominant numerical parameters. Finally, you will quantify the propagation of uncertainty to assess the simulation's overall robustness and credibility. Qualifications Education: Master studies in the field of Mechanical Engineering, Computational Engineering, Artificial Intelligence, Data Science or comparable Experience and Knowledge: strong knowledge and practical experience with Ansys Mechanical; solid knowledge of PyMAPDL; proficient programming skills in Python; firm understanding of statistics; sound knowledge of machine learning methods; fundamental understanding of simulation credibility and uncertainty quantification concepts Personality and Working Practice: you are a committed and communicative team player with an independent and structured working style Work Routine: your on-site presence is required Languages: very good in English and beginner in German Additional Information Start: according to prior agreement Duration: 6 months Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Dharshan Barkur (Functional Department) +49 7121 35 66938 Work #LikeABosch starts here: Apply now! #LI-DNI Legal Entity: Robert Bosch GmbH

Responsibilities

The intern will refine an existing thermo-mechanical Finite Element Model (FEM) of a MEMS packaging structure and systematically vary numerical modeling parameters using a structured virtual Design of Experiments (vDOE). The role involves evaluating simulation results for warpage and stresses, constructing surrogate models, conducting sensitivity analysis, and quantifying uncertainty propagation to assess simulation robustness.