FY26 Working Student - Sensor Data Analysis - 4 months, Germany

We are seeking a motivated and detail-oriented Working Student to support our team in various work packages related to sensor data analysis . This position offers a unique opportunity to gain hands-on experience with real sensor systems, data pipelines, and applied research in a dynamic and innovative engineering environment.

You will work closely with experienced engineers, contribute to ongoing investigations, and help improve tools and processes used across the team.

Your Responsibilities

• Assist with sensor testing and data recordings
• Perform statistical analysis and evaluation of sensor data
• Develop and maintain Python-based analysis scripts
• Support the creation and automation of test templates and evaluation workflows
• Contribute to documentation and reporting of findings, *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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Do you have experience in Software development?, Do you have a Master's degree?, * Currently enrolled in a Master's program in Electrical Engineering, Data Science, or a related technical field

• Good knowledge of statistics and statistical data analysis
• Strong programming skills in Python (NumPy, SciPy, pandas, matplotlib, etc.)
• Basic knowledge of Linux and bash commands
• Proficiency in English (written and spoken)

Preferred / Nice-to-Have Skills

• Knowledge of Radiofrequency (RF) / Hochfrequenztechnik , particularly radar principles
• Familiarity with software development tools , such as:

• Git (version control)
• Docker (containerization)

• German language skills are a plus
• Strong communication and teamwork abilities

What We Offer

• Practical experience in cutting-edge topics related to sensor technology and data analysis
• Opportunity to work with real automotive and RF sensor data
• Exposure to modern development workflows and engineering tools
• Flexible working hours to support your academic schedule
• A supportive team environment with mentoring from senior engineers