PhD Student: Harnessing Phase Transitions for Optical Information Processing
Investigate how material phase transitions can be harnessed to optimize energy, speed, and accuracy in photonic information processing.
Best for:Best for experimental physicists and photonics researchers with an interest in nonlinear dynamics and optical cavity measurements.
Overview
This collaborative PhD project between AMOLF and Utrecht University investigates how continuous phase transitions in materials can be harnessed to reduce optical energy consumption in information processing. The researcher will characterize spectral and temporal responses, evaluate performance near criticality, and combine experiments with theoretical modelling and numerical simulations. Based primarily at AMOLF within the Interacting Photons group and partly at Utrecht University, the candidate will engage in experimental optics, materials characterization, and potential nanofabrication. The successful applicant will receive a full-time four-year contract leading to a PhD degree from a Dutch university.
What you'll do
- Characterize the spectral and temporal response of laser-driven optical cavities containing perovskite crystals near phase transitions.
- Design and execute optical experiments using controlled time-dependent signals and benchmark information-processing operations.
- Combine experimental work with theoretical modelling, statistical data analysis, and numerical simulations.
- Perform optical cavity measurements, materials characterization, and nanofabrication where necessary.
- Collaborate between AMOLF and Utrecht University, bridging two research groups and participating in teaching and training programs.
Requirements
Degree required: MSc degree in physics, optics, photonics, nanoscience, or a related field
Degree offered: PhD
Language: English; professional working proficiency
Instruction: English
- Background in experimental physics, optics, or photonics
- Ability to set up and perform complex laboratory experiments
- Strong analytical skills for data modelling and interpretation
- Strong interpersonal and communication skills to bridge two research locations
- Open to applicants regardless of age, gender, origin, sexual orientation, or physical ability
Funding & terms
How to apply
Interested candidates should submit their application online through the vacancy portal by following the application link. Online screening may be part of the selection process.
- CV
- Cover letter
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.