Siemens Energy
我們基於創新技術以及實現想法的能力,支援客戶迎向更永續的世界,為社會注入活力。我們在全球擁有近 94,000 名員工,塑造當今和未來的能源系統。
Transformation of Industry
憑藉強大的工業客戶基礎、全球網路、多樣化技術和綜合項目執行能力,西門子能源努力實現工業領域脫碳,並實現工業流程可持續轉型。
關於職位
- Develop standard schemes to clean and filter raw time series data as necessary
- Develop new and/or extend existing machine learning algorithms for tracking water electrolyzers’ state of health and implement it in Python
- Analyze the robustness of the schemes with industrial operation data, ensuring their reliable performance in real-world scenarios
- Develop quality code in GIT environment and produce proper documentation
- Use results from your work to support product development and field service
- Ongoing Bachelor’s or Master’s study in engineering, data analytics / science, computer science, or a related field
- Strong analytical skills and structured working style
- Open minded, willingness and passion to explore with new methods and different thinking
- Familiar with Python programming - Experience with machine learning packages such as scikit-learn is a plus
- Experience with GIT is a plus
- Proficiency in English, German is a plus
At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Our Commitment to Diversity
Rewards/Benefits
- Exciting insights into an international company
- Lay the foundation for your career with us