Siemens Energy
当社は、革新的なテクノロジーと、アイデアを現実に変える力を基盤として、より持続可能な世界に移行するというお客様の取り組みを支えることにより、「社会を活性化」させています。世界中におよそ 100,000 人の従業員を擁し、今日そして明日のエネルギーシステムを形作ります。
Transformation of Industry
産業エネルギーの分野における強固な顧客基盤、世界市場を網羅する自社ネットワーク、多様な技術と組織内で統合されたプロジェクト実行能力を駆使して、産業エネルギーにおける脱炭素化と持続可能なプロセスへの移行の実現をサポートします。
役割について
- 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