Working Student for the Lab Data Analysis - Germany

Servus and hallo bei uns hier in Sungrow! Are you looking for new experiences and exciting tasks in the field of renewable energy? 

Then come and support us in our Advanced Hydrogen Technology Team at Sungrow European Research Institute to take part in industrial R&D development towards a clean energy solution! Curious what this is all about? Let’s dive right in:

(Please include your current Transcript of Records as part of your application documents. This will help us assess your academic background and process your application more efficiently.)

• Conduct general activities including documentation, data acquisition, analysis, and regular inspection and maintenance of lab devices.
• Support data acquisition from laboratory experiments, sensors, and test systems.
• Perform market research to identify industry trends, competitors, and potential opportunities in the clean energy sector.
• Preprocess, clean, and validate large-scale datasets for analysis.
• Develop and maintain Python-based scripts for data handling and automation.
• Apply data analysis, statistics, and visualization techniques to extract valuable insights.
• Collaborate with engineers and researchers to improve data quality and optimize workflows.
• Document data pipelines, code, and analysis results in a clear and structured manner.

All right, all right, that was intriguing, wasn't it? Now, in order to fit into this role and be happy for a long time, your ideal background should look a lot like this:

• Currently enrolled in a Bachelor’s or Master's degree in Data Science, Data Engineering, Computer Science, Informatics, Engineering, Physics, Electrochemistry, Natural Science, Energy Engineering, or possess equivalent experience/training.
• Demonstrate research abilities, including experience in data collection and report generation for market analysis.
• Possess intermediate to advanced Python programming skills, including experience with libraries such as pandas, NumPy, and matplotlib.
• Show an understanding of data analysis concepts and experience handling large datasets.
• Familiarity with AI / Machine Learning basics is a strong advantage.
• Ability to work with experimental raw data formats like CSV and TXT files.
• Exhibit a structured, analytical mindset, along with good documentation and communication skills.
• Bring motivation to actively contribute and offer your expertise, coupled with flexibility, reliability, and a self-sufficient work style.
• English language skills at a working level (C1) are required, and good German language skills are a plus.

“Green Energy,” “Green Hydrogen”—you must hear these terms quite often. Would you like to work in this field? If you are interested or still exploring opportunities, you can experience it during your studies at Sungrow European Research Institute (SERI).
At SERI, you'll join a team of experienced doctors and masters committed to accelerating the development of Sungrow's hydrogen energy solutions. Here, you will expand your knowledge in the fast-growing field of "Green Hydrogen," gain valuable professional experience, and benefit from working in an intercultural environment. You will have hands-on experience with real laboratory data, practical exposure to AI-supported data analysis, and build strong foundations in coding, automation, and data-driven engineering.