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:
* You contribute to research activities at the intersection of numerical optimization, control theory, and machine learning.
* You develop efficient and reliable optimization-based control solutions for challenging industrial applications.
* You support the implementation of numerical optimization algorithms for real-time control systems.
* You augment traditional approaches with machine learning techniques to boost performance and facilitate rapid prototyping.
Qualifications for the role
* You are an enrolled student in Electrical Engineering, Mechanical Engineering, Engineering Cybernetics, Mathematics or similar.
* You have solid programming experience in any of Python, C/C++ or Matlab.
* You have sound English skills in speaking and writing as required by an international team.
* You have prior knowledge and experience in at least two of the following: numerical optimization, control theory and machine learning.
* You have a strong interest in and, ideally, possess prior knowledge and experience in optimal control, model predictive control and related tools (e.g. CasADi).
* You show great attention to detail.
* You have an analytical and structured way of thinking.
* You show readiness to tackle difficult problems, above-average motivation to implement and test developed models and algorithms, and proactiveness to come up with new ideas on how to overcome possible challenges.
Interested in joining our team? We are looking forward to receiving your complete application (CV, Cover letter, Transcript of records) 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
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