Master thesis AI Techniques & 3D Numerical Simulations (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company is offering a master's thesis project focused on AI techniques for 3D numerical simulations. The role involves developing algorithms, conducting research, and presenting findings. Ideal for motivated students in computer science or engineering with strong programming skills.

Leistungen

Digital offers & mobile working options

Attractive and fair remuneration

Apartment offers for students

Qualifikationen

• Currently enrolled in a relevant undergraduate or graduate program.
• Strong programming skills in Python, C++, etc.
• Experience with deep learning libraries like PyTorch and TensorFlow.

Aufgaben

• Conduct literature review on AI-powered 3D numerical simulations.
• Develop AI algorithms to improve simulation performance.
• Document research findings in a high-quality master's thesis.

Kenntnisse

Programming

Problem Solving

Critical Thinking

Ausbildung

Relevant Undergraduate or Graduate Program

Tools

Python

C++

PyTorch

TensorFlow

Graph Neural Networks

Jobbeschreibung

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Master thesis AI Techniques & 3D Numerical Simulations (f/m/x)

SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are essential in developing truly novel solutions. Our experts will treat you as part of the team from day one, encouraging you to bring your own ideas and giving you the opportunity to showcase your skills.

We are seeking a highly motivated graduate student to work on a master's thesis project focused on applying artificial intelligence (AI) techniques to 3D numerical simulations. The successful candidate will explore machine learning, deep learning, and other AI approaches to enhance the accuracy, efficiency, and capabilities of 3D simulation models across various engineering and scientific domains.

What awaits you?

• Conduct a comprehensive literature review on AI-powered 3D numerical simulations.
• Develop novel AI algorithms and architectures to improve the performance of 3D simulation models.
• Implement and test the proposed AI-based approaches on benchmark 3D simulation problems.
• Analyze results, quantify improvements, and identify areas for further development.
• Document the research findings in a high-quality master's thesis.
• Present your work at relevant conferences and workshops.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Currently enrolled in a relevant undergraduate or graduate program (e.g., computer science, engineering).
• Strong programming skills in languages such as Python, C++, etc.
• Background in numerical simulations and experience with deep learning libraries like PyTorch and TensorFlow.
• Experience with Graph Neural Networks (GNNs), ideally for mesh-based simulations.
• Familiarity with existing GNN libraries, e.g., PyG, NVIDIA PhysicsNeMo.
• Excellent problem-solving and critical thinking skills.
• Effective communication and collaboration abilities.

If you are enthusiastic about new technologies and an innovative environment, apply now!

What do we offer?

• Digital offers & mobile working options.
• Attractive and fair remuneration.
• Apartment offers for students (subject to availability, only in Munich).

If you have any questions, please use our contact form. Your inquiry will be answered by phone or email.

At the BMW Group, we value diversity and inclusion as strengths. Equal opportunities are a core principle of our corporate policy, and we base our recruiting decisions on personality, experience, and skills.