Summary
This fully funded PhD position at TU Delft focuses on the design and fabrication of photonic AI chips capable of processing tasks at high speed and energy efficiency. Ideal for candidates interested in integrating nanophotonics and artificial intelligence, the research aims to create robust training mechanisms in programmable photonic circuits.
PhD Position in On-Chip Photonic Neural Networks, TU Delft, Netherlands
Designation
PhD Candidate in On-Chip Photonic Neural Network
Table
| Details | Information |
|---|---|
| Research Area | Nanophotonics, Artificial Intelligence |
| Location | TU Delft, Netherlands |
| Salary | €3059 – €3881 per month |
| Contract Duration | 4 years (initial 1.5 years followed by 2.5 years) |
| Work Hours | 38 hours per week |
| Application Deadline | 28 May 2026 |
Eligibility/Qualification
- Master’s degree in Physics, Applied Physics, Nanophotonics, Computer Science, Artificial Intelligence, Mechanical Engineering, or related field.
- Experience in nanofabrication and machine learning for scientific applications.
- Proficiency in programming languages (e.g., Python, PyTorch, TensorFlow).
- Strong communication and teamwork skills.
Job Description
As a PhD candidate, you will:
- Design and model photonic neural network architectures for on-chip implementation.
- Develop in-situ training strategies compatible with analog photonic hardware.
- Fabricate and experimentally characterize novel photonic AI chips.
- Collaborate with interdisciplinary teams across nanophotonics and AI.
- Share findings through scientific publications, conference presentations, and patents.
How to Apply
Interested candidates should apply online by submitting the following documents:
- Curriculum Vitae (CV)
- Transcript of grades from Master’s and Bachelor’s degrees
- Cover letter detailing interest and motivation for the position
- A sample of original scientific writing (e.g., MSc thesis or project report)
Last Date to Apply
Applications are accepted until 28 May 2026.
This position offers a unique opportunity to lead innovative research at the intersection of nanophotonics and AI, with mentorship and support for personal and professional development. Apply now to join a pioneering project!
