Internship (m / f / d) - Learning-Based Optimal Control for Industrial Applications

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

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

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

#Runwhatrunstheworld

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.