Siemens Energy
我们拥有创新技术,我们拥有将想法变成现实的能力,我们帮助客户向更加可持续的世界转变,以此“为社会注入活力”。我们在全球拥有近 9 万名员工,共同塑造现在乃至未来的能源体系。
Transformation of Industry
凭借强大的工业客户基础、全球网络、多样化技术和综合项目执行能力,西门子能源助力工业领域脱碳,并实现工业流程可持续转型。
关于职务
- 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