🔬 PhD — AI-driven Silicon Photonics Circuits Design

📍 University of Southampton, UK

This PhD applies AI to inverse design to generate efficient photonic circuits. The project explores advanced AI techniques including graph neural networks, reinforcement learning and generative models for the design and optimisation of photonic integrated circuits.

🔬 Research areas:
• AI-driven photonic design
• Silicon photonics
• Photonic integrated circuits
• Machine learning & optimisation
• Photonic fabrication and characterisation

🎓 Degree: PhD

💰 Funding: Competition funded

📅 Closing date: 31 December 2026

🎯 Entry requirement: UK 2:1 honours degree or international equivalent. The project is suitable for candidates in computer science, physics or electronic engineering interested in AI-driven design.

👨‍🏫 Lead supervisor: Professor Goran Mashanovich

🔗 Official information & application:
https://www.southampton.ac.uk/study/postgraduate-research/projects/ai-driven-silicon-photonics-circuits-design

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