Internship / Master Thesis (m/f/d) - Physics-Informed Machine Learning for Smart Automation Systems

ABB
At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world.
This Position reports to:
R&D Team Lead
Key responsibilities
The work model for the role is: #LI-Hybrid
You will be mainly accountable for:
Qualifications for the role
Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.
ABB AG
+49 (0) 621 381 3500
Be part of something bigger. This is where progress is powered, teams initiate action, and we move the world forward-together.
Run What Runs the World.
#ABBCareers
#RunwithABB
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
This Position reports to:
R&D Team Lead
Key responsibilities
The work model for the role is: #LI-Hybrid
You will be mainly accountable for:
- You are interested in the domain of data analytics and machine learning.
- You will work on data analytics and physics-informed machine learning for industrial applications.
- You will develop mainly python packages for industrial use cases.
- Close collaboration with our scientists and engineers. You will design, analyze, and test advanced time series analysis and physics informed deep learning algorithms.
- We expect that you show above-average motivation to develop demonstrators and software prototypes and proactiveness to come up with new concepts and ideas on how to overcome possible challenges.
Qualifications for the role
- Currently enrolled in Applied Mathematics, Physics, Computer Science, Data Science, Engineering or similar field
- Strong knowledge of Python, shell scripting, and machine learning libraries (e.g., TensorFlow, Scikit-Learn, PyTorch, Pandas)
- Proficient in Git, with familiarity in Java/JavaScript and Azure (nice to have)
- Experience with Matlab/Simulink (nice to have)
- Fluent in English, both written and spoken; German is a plus
Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.
ABB AG
+49 (0) 621 381 3500
Be part of something bigger. This is where progress is powered, teams initiate action, and we move the world forward-together.
Run What Runs the World.
#ABBCareers
#RunwithABB
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
JOB SUMMARY
Internship / Master Thesis (m/f/d) - Physics-Informed Machine Learning for Smart Automation Systems

ABB
Mannheim
5 days ago
N/A
Full-time
Internship / Master Thesis (m/f/d) - Physics-Informed Machine Learning for Smart Automation Systems