Academic Internship in Mechanical Engineering (f/m/div.)

Your contribution to something big:

- Project Background:

1. One of the first steps in obtaining an electronics product is correct design and manufacturing of Printed Circuit Boards assemblies (PCBa). This is where our section is positioned, in developing the technologies thar allow us to manufacture PCB Assemblies.
2. In a fast moving and highly competitive market, being fast and efficient is the answer. Simulation plays a big role in today's industry. By creating digital twins for manufacturing processes we shoot for that effectiveness. These are based on simulation models for each process with inputs closely replicating machine parameters and raw material geometry and physical properties. As for outputs they allow to forecast the quality and probability of defects on a given PCBa. The more accurate the inputs and simulation strategy the higher is the quality outcome of the simulation. This project aims on increasing model accuracy by investigating both material properties and simulation strategies.  

- Research Objectives:

1. Understand the physical phenomena behind reflow soldering process.
2. Research and characterize relevant material properties.
3. Investigate state of the art simulation methodologies
4. Simulation Model Development/Improvement.
5. Implement automation strategies for simulation models (Python Based)

    
- Proposed Study Plan:

1. Literature Review 
2. Productive Processes familiarization physical characterization
3. Material Characterization (experimental and analytical)
4. Familiarization and on-the-job training with simulation software (Ansys)
5. Simulation Model Development
6. Simulation Model Validation 
7. Discussion & Thesis Writing

What distinguishes you:

- Desired Competencies and Profile:

   •    Advanced Knowledge Fluid Mechanics and Strength of Materials;

   •    Prior Contact with Finite Element Methods and/or Computational Fluid Dynamics;

   •    Python knowledge;

   •    Experimental Design and Data Analysis: Basic knowledge of experimental planning and data analysis, including statistical treatment, with interest in strengthening these skills through practical application;

   •    Problem-Solving and Critical Thinking: Analytical mindset with the ability to approach complex physical phenomena in a structured manner and develop technically sound solutions;

   •    Fluent in English (written, verbal, technical communication;

   •    Good presentation skills;

   •    Team Work.

Work #LikeABosch includes:

🌐 Exchange with colleagues around the world

🧑‍⚕️  Medical office (psychology and general clinic) & Social Services Office on site

📚 Training opportunities (p.e., technical training, foreign languages training) 

📈 Continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🚌 Free transport from Porto

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!

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