At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
R&D Team Lead
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Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.
At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
Key responsibilities
The work model for the role is: #LI-Hybrid
You will be mainly accountable for:
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Contribute to ongoing research activities on service planning for switchgear, helping us to increase the reliability of energy grids.
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Support the development of optimization methodologies for complex industrial problems.
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Prepare the development of algorithms with a comprehensive literature review on state-of-the-art solutions and evaluate their applicability to our specific problem and our data landscape.
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Implement optimization algorithms in Python, translating theoretical concepts into practical, executable solutions.
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Regularly share results with the team through presentations, technical discussions, and documentation in technical reports.
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We expect that 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.
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Driving an independent work task as a project team member.
Qualifications for the role
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You are enrolled as a student for the full duration of the internship (mandatory).
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You have a Master study background in Mathematics, Electrical Engineering, Computer Science, Computational Engineering, or a similar field.
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You are well acquainted with mathematical optimization and algorithms.
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You have first experiences in handling scheduling problems, discrete optimization problems, statistic data analysis, and/or model uncertainties.
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You are interested in solving complex industrial optimization problems. You have profound programming experience (e.g., Python, Matlab).
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You are a good communicator, having sound English skills in speaking and writing required by an international team.
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You work independently and self-motivated while having a quick grasp of new concepts and technical challenges.
More about us
ABB is a leading global engineering company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, automation, and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB's success is driven by 110,000 talented employees in over 100 countries.
As Optimization and Control Research Group of ABB's Corporate Research Center Germany, we transfer recent academic insights and technology developments into prototypes of future products and systems.
We are looking for enthusiastic students to become part of our research and development team of a global, future-oriented company. Join us to learn from competent experts, gain insights on technologies, and get practical experience through challenging tasks in a project team. You will be involved in projects and perform a defined set of duties independently. Use your stay at corporate research center to build your professional network and become familiar with our company.
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
#Runwhatrunstheworld
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.
