Description
The opportunity
Join our System and Automation team at the Swiss research center and contribute to pioneering work at the intersection of Machine Learning, Control, and Power Systems. You will work in a dynamic, multidisciplinary environment that values collaboration, creativity, and scientific curiosity. In this six‑month MSc thesis project, you will explore innovative ML‑driven controller adaptation methods that support a more stable and sustainable energy future. You will receive dedicated mentoring, gain hands‑on experience with in‑house simulations, and develop solutions that can influence future industrial applications. This is a great opportunity to strengthen your technical profile while advancing real‑world impact.
How you’ll make an impact
Conduct literature research on adaptive control and data‑driven controller adaptation
Develop ML‑based methods to adapt ARX‑based data‑driven controllers
Implement and evaluate different approaches using in‑house simulations
Benchmark results against existing internal baselines
Explore, test, and refine model variations through ablation studies
Deliver high‑quality technical documentation and scientific reporting
Share insights within the team and propose creative improvements
Drive tasks proactively under supportive supervision
Your background
Enrolled in an MSc in Applied Mathematics, Electrical Engineering, Control, Automation, or a related field
Knowledge in at least one area : Machine Learning, Dynamic Systems and Control, or Power Systems
Skilled in Python
Strong analytical mindset and initiative
Excellent communication skills and a collaborative attitude
Fluent in English, spoken and written
More about us
We are a technology-driven company with a strong focus on innovation, continuous improvement, and sustainable manufacturing. We offer flexible working conditions, dedicated mentorship, and a supportive, inclusive environment where you can grow personally and professionally – empowering you to thrive while balancing life and work.
We look forward to receiving your application, including a brief cover letter and a transcript of records, along with your CV. Non‑EU / EFTA citizens, please note that an official university certificate confirming that the thesis project is a mandatory part of your studies is required.
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MSc Thesis on Adaptive Data Driven Control for Wide Area Power System Oscillation Damping mwd • Switzerland,Aargau,Daettwil,Baden