Internship - Projects on Silicon Photonics
On-siteStäfa, Zurich, Switzerland
Stäfa, Zurich, SwitzerlandOn-siteInternshipEntry LevelStartup
InternshipEntry LevelStartup
Job Summary
Design and validate custom electrical test setups for silicon photonics chips, including circuit layout, hardware integration, and automated data acquisition scripts. Develop Python-based analysis tools to estimate measurement uncertainties, define invalidation criteria, and build scalable error analysis frameworks. Collaborate with R&D engineers on lab activities, documentation, and progress reporting across electrical testing and data science projects. Internships run for 6-12 months in Spring and Autumn, with visa support only for mandatory university programs.
Required Qualifications
- Currently pursuing a degree in Electrical Engineering, Physics, Data Science, Computer Science, Applied Mathematics, or a related field
- Experience using Python for data analysis or scientific computing, e.g. as part of university coursework
- Good understanding of statistics and data analysis, with an interest in variability, measurement uncertainty, and data quality
- Enthusiasm for working with complex datasets to identify patterns, anomalies, and insights
- Strong communication skills, team spirit, and a desire to contribute within a dynamic deep-tech startup
- Interest in learning on the go and showing good adaptability
- Patient and curious mindset
- Completion of a Bachelor's program in electrical engineering, applied physics, mechanical engineering, robotics or similar field (may vary depending on the project)
Desired Qualifications
- Understanding of and strong interest in learning analog and power circuit design, ideally with some exposure to electrical measurement equipment
- Familiarity with Python programming for data analysis, basic hardware communication, or implementing test routines
- Previous experience with the following is an advantage, but not strictly required: PCB design software, version control via Git, or CAD
- Good communication skills, team spirit, and a desire to contribute within a dynamic deep-tech startup
- Familiarity with measurement systems or error analysis
- Experience with data platforms and development tools such as Databricks, Azure DevOps, or similar environment
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