Lens-free imaging hasemerged as a promising alternative to traditional microscopy, offering compacthardware, large field-of-view, and substantial cost and form-factor reductions.In coded ptychography, a patterned layer positioned near the sensor introducesspatial modulation that allows high-resolution phase retrieval without the needfor lenses.
In this internship,you will develop and evaluate a coded lens-free ptychographic imaging system.The focus will be on investigating different coded surface concepts and exploringptychographic reconstruction approaches to achieve improved resolution,stability, and imaging speed.
Expected LearningOutcomes
By the end of theinternship, the student will gain experience in:
- Computational imaging & lens-free microscopy
- Optical system modelling and simulation
- Ptychographic phase retrieval
- Image reconstruction algorithms and optimization
- Experimental optical coded surfaces and data acquisition
- Working with imec hardware and Python-based reconstruction pipelines
Required Skills
- Background in electrical engineering, optics/photonics, applied physics, or computer science.
- Experience in Python.
- (Optional but beneficial) Knowledge of Fourier optics, inverse problems, or machine learning.
Type of internship: Master internship
Required educational background: Electrotechnics/Electrical Engineering, Physics, Computer Science
Supervising scientist(s): For further information or for application, please contact Zhenxiang Luo (< email deleted for security reasons >) and Ziduo Lin (< email deleted for security reasons >)
The reference code for this position is 2026-INT-018. Mention this reference code in your application.
Applications should include the following information:
- resume
- motivation
- current study
Incomplete applications will not be considered.