Data Scientist
Core
Develop and test algorithms for semiconductor metrology systems, turning instrument data into proof of physical performance limits.
Role type
Data Scientist (Semiconductor Metrology)
Builds
Analysis methods and prototype code for advanced semiconductor metrology systems
Domain
Semiconductor manufacturing / Metrology / Physics-based modelling
Deliverable
production ML models
Required skills
Python (NumPy, SciPy, pandas, scikit-learn), Machine learning, Statistics (uncertainty, noise, drift), Image or signal processing, AI tools usage, Version control (Git)
Preferred skills
Atomic Force Microscopy or nano-characterisation experience, Physics-based modelling, C#, Agentic or AI-assisted analysis workflows
Technologies
Python, NumPy, SciPy, pandas, scikit-learn, Git, C#
Responsibilities
Generate synthetic data and maintain data libraries; Analyse instrument data to quantify noise and limitations; Develop and test new algorithms and analysis methods; Benchmark methods against information limits; Write reproducible prototype code for handover to engineering; Use AI tools to code, explore, and verify results.