This PhD project, in collaboration with STMicroelectronics’ Imaging Division in Edinburgh, focuses on improving the simulation and predictive modelling of Single Photon Avalanche Diodes (SPADs)—semiconductor devices capable of detecting individual photons with sub-nanosecond timing precision. SPADs are critical to technologies such as LIDAR, Time-of-Flight (ToF) sensing, and optical communication.
The project aims to enhance the design-to-fabrication pipeline by validating and improving ST’s current SPAD simulation tools, reducing development costs and accelerating innovation.
Key Objectives:
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Simulation Tool Validation and Enhancement
- Compare simulated SPAD performance metrics (e.g., Afterpulsing, Jitter, Dark Count Rate) with experimental characterisation data.
- Refine simulation models to improve predictive accuracy and reduce reliance on costly fabrication cycles.
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Design Parameter Analysis
- Use simulation tools to explore how SPAD design parameters influence key Figures of Merit (FoMs).
- Identify trends and relationships to guide future SPAD design decisions.
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Tool Familiarisation and Development
- Gain expertise in TCAD tools used for optical and SPAD device simulation.
- Develop a deep understanding of the simulation process to contribute to tool improvement.
Outcomes and Impact:
- A more predictive and efficient SPAD simulation framework.
- Deeper insight into SPAD design-performance relationships.
- Enhanced capability for STMicroelectronics to innovate in consumer and industrial sensing technologies.
This project offers a unique opportunity to work at the intersection of semiconductor device physics, simulation, and industrial R&D, with direct impact on next-generation optical sensing systems.