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- Aufgaben: Dive into causal AI to enhance power electronics reliability using real manufacturing data.
- Arbeitgeber: Join Bosch, a leader in innovative technologies that enrich lives and inspire creativity.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for growth and learning.
- Warum dieser Job: Make an impact in tech while working on cutting-edge projects in a diverse culture.
- Gewünschte Qualifikationen: Pursuing a Master's in Mechanical Engineering, Informatics, or Electrical Engineering; experience in Causal AI, Python, and MATLAB required.
- Andere Informationen: This is a 6-month thesis opportunity; enrollment at university is necessary.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Master Thesis in Causal AI Prediction of Power Electronics Reliability Using Manufacturing Data
- 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!
Responsibilities:
- Carry out a literature review on the potential use of causal AI in electronics manufacturing.
- Review process data sets and identify dependencies and redundancies.
- Implement the model training and validation based on the dataset.
- Identify the main factors influencing the reliability of electronic components.
Requirements:
- Education: Master studies in the field of Mechanical Engineering, Informatics, Electrical Engineering or comparable.
- Experience and Knowledge: in Causal AI models, Python and MATLAB.
- Personality and Working Practice: Independent, enthusiastic, trustworthy, and meticulous.
- Languages: Very good in English, German is a plus.
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 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?
Jonas Gleichauf (Functional Department)
+49 711 811 37404
#J-18808-Ljbffr
Master Thesis in Causal AI Prediction of Power Electronics Reliability Using Manufacturing Data Arbeitgeber: Robert Bosch Group
Kontaktperson:
Robert Bosch Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Master Thesis in Causal AI Prediction of Power Electronics Reliability Using Manufacturing Data
✨Tip Number 1
Familiarize yourself with the latest research in causal AI, especially as it pertains to electronics manufacturing. This will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your Python and MATLAB skills, as these are crucial for the model training and validation tasks. Consider working on small projects or exercises that showcase your proficiency in these programming languages.
✨Tip Number 3
Network with professionals in the field of power electronics and causal AI. Attend relevant workshops or webinars to connect with industry experts who can provide insights and potentially refer you to opportunities at Bosch.
✨Tip Number 4
Prepare to discuss your previous academic projects or experiences that relate to the responsibilities outlined in the job description. Highlight any independent work that showcases your enthusiasm and meticulous nature.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Master Thesis in Causal AI Prediction of Power Electronics Reliability Using Manufacturing Data
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Master Thesis position. Familiarize yourself with causal AI, power electronics, and the specific skills needed such as Python and MATLAB.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your education in Mechanical Engineering, Informatics, or Electrical Engineering, and any projects related to causal AI.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your motivation for applying, your interest in causal AI, and how your background makes you a suitable candidate for this thesis. Mention your enthusiasm for working at Bosch and contributing to their innovative projects.
Prepare Required Documents: Gather all necessary documents including your CV, transcript of records, examination regulations, and any permits if applicable. Ensure everything is up-to-date and formatted correctly before submission.
Wie du dich auf ein Vorstellungsgespräch bei Robert Bosch Group vorbereitest
✨Show Your Knowledge in Causal AI
Be prepared to discuss your understanding of causal AI and its applications in electronics manufacturing. Highlight any relevant projects or coursework that demonstrate your expertise in this area.
✨Demonstrate Technical Skills
Since the role requires experience with Python and MATLAB, be ready to showcase your programming skills. You might be asked to solve a problem or explain how you would approach model training and validation.
✨Prepare for Behavioral Questions
Bosch values independent and trustworthy individuals. Think of examples from your past experiences that illustrate your ability to work independently, your enthusiasm for technology, and your meticulous nature.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the project, and Bosch's approach to innovation in power electronics. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
