Graphene Photonics Data Analyst (f/m/d)

As a Graphene Photonics Data Analyst, you will transform complex characterization data into reliable insights that guide device design, process development, and manufacturing decisions. You will own and evolve our analysis software and data infrastructure, develop new methods for emerging experiments, and help scale our analytical capabilities as we transition from R&D to high-volume production.

• Own and continuously improve our characterization analysis software suite
• Develop new analysis methods as experiments and measurement capabilities evolve
• Build and maintain reliable, scalable data infrastructure
• Ensure the integrity, accuracy, and traceability of analysis outputs
• Turn raw measurement data into actionable insights for process and design decisions
• Extract device parameters from measured data and benchmark results against physical and compact models
• Perform statistical process and yield analyses to identify trends, correlations, and outliers across wafers and lots
• Correlate characterization results with process parameters, closing the loop between measurement and process control
• Integrate analysis outputs with fab MES and data systems to enable real-time process feedback
• Define standardized analysis protocols and transition mature R&D code into robust, production-ready tools
• Optimize analysis pipelines for throughput and scalability as we move toward high-volume production

• An M.S. or PhD in Data Science, Physics, or another relevant technical discipline
• At least two years of relevant industry or research experience; a related PhD project
• Strong Python skills and a genuine passion for building high-quality software
• A proven track record of designing, developing, and owning a software pipeline or technical project end-to-end
• A solid foundation in device physics, including solid-state physics, semiconductor devices, and photonics
• Experience with statistical analysis, model fitting, and parameter extraction
• Experience with data visualization and tracking trends across wafers, lots, or manufacturing processes
• The ability to work with laboratory or fab instrument interfaces

• Flexibility and work-life harmony—we ensure work adapts to life, not the other way around
• Autonomy to make a lasting impact and continuous learning opportunities
• Comprehensive benefits package with outstanding insurance, pension and virtual stock options
• Support for mental, physical, and financial health