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- Aufgaben: Dive into AI to detect anomalies in e-machine test data and optimize models.
- Arbeitgeber: Join Bosch, a leader in innovative technologies that enhance lives and inspire creativity.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for growth and learning.
- Warum dieser Job: Make an impact in the tech world while working on cutting-edge AI projects.
- Gewünschte Qualifikationen: Pursuing a Master's in relevant fields with skills in ML, Python, and AI libraries.
- Andere Informationen: Flexible start date; must be enrolled at university during the thesis.
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
- During your thesis you will investigate and compare different AI-based approaches for the detection of anomalies in time series data on endurance test benches for e-machines.
- You will select and implement a suitable model.
- Furthermore, you will optimize and adapt the model to detect the anomalies on the real test bench.
- Finally, you will evaluate it based on test data or optionally in operation.
Qualifications
- Education: Master studies in Computer Science, Data Science, Artificial Intelligence, (Applied) Mathematics, Physics, Automation Technology, Cybernetics, Automotive Engineering, Electrical Engineering or comparable.
- Experience and Knowledge: in the fields of data-based modeling and machine learning (ML); with common AI libraries such as PyTorch or TensorFlow; good programming skills (preferably in Python); basic knowledge in electrical engineering and electrical drive technology is an advantage.
- Personality and Working Practice: you work independently, follow systematic approaches to tasks, and consistently deliver reliable results.
- Languages: good in English or German.
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 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.#J-18808-Ljbffr
Master Thesis in AI-based Anomaly Detection for E-machine Test Benches Arbeitgeber: Robert Bosch GmbH
Kontaktperson:
Robert Bosch GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Master Thesis in AI-based Anomaly Detection for E-machine Test Benches
✨Tip Number 1
Familiarize yourself with the specific AI-based approaches used in anomaly detection. Research current trends and methodologies in this field, especially those relevant to time series data, as this will help you stand out during discussions.
✨Tip Number 2
Engage with the Bosch community on platforms like LinkedIn or relevant forums. Networking with current employees can provide insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 3
Showcase any personal projects or research related to machine learning and AI. Having practical examples of your work can demonstrate your skills and passion for the subject, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your programming skills, particularly in Python, during interviews. Be ready to explain how you've applied these skills in past projects, especially in relation to AI libraries like PyTorch or TensorFlow.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Master Thesis in AI-based Anomaly Detection for E-machine Test Benches
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements for the Master Thesis. Highlight your relevant skills and experiences in your application.
Tailor Your CV: Customize your CV to emphasize your education and experience related to AI, machine learning, and programming. Include any projects or coursework that demonstrate your capabilities in these areas.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your motivation for applying, your interest in AI-based anomaly detection, and how your background aligns with Bosch's goals. Be sure to mention your independent working style and systematic approach.
Prepare Required Documents: Gather all necessary documents such as your CV, transcript of records, examination regulations, and any permits if applicable. Ensure everything is up-to-date and formatted professionally before submission.
Wie du dich auf ein Vorstellungsgespräch bei Robert Bosch GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI libraries like PyTorch or TensorFlow. Highlight specific projects where you applied machine learning techniques, especially in anomaly detection or time series analysis.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to explain how you approach complex problems. Discuss any systematic methods you use to tackle challenges, particularly in data-based modeling and optimization.
✨Express Your Passion for Innovation
Bosch values enthusiasm and creativity. Share your thoughts on the future of AI in engineering and how you envision contributing to innovative solutions in e-machine technology.
✨Prepare Questions About the Role
Show your interest by preparing insightful questions about the thesis project, the team you'll be working with, and Bosch's approach to AI and anomaly detection. This demonstrates your proactive attitude and genuine interest in the position.
