Ph3Coded Ptychography for Lens Free High Resolution Imaging /h3pMaster internship - Leuven /ppExplore how smart optical encoding and algorithms can unlock a new generation of lens-free microscopes. /ppLens-free imaging has emerged as a promising alternative to traditional microscopy, offering compact hardware, large field-of-view, and substantial cost and form-factor reductions. In coded ptychography, a patterned layer positioned near the sensor introduces spatial modulation that allows high-resolution phase retrieval without the need for lenses. /ppIn this internship, you will develop and evaluate a bcoded lens-free ptychographic imaging system /b. The focus will be on binvestigating different coded surface concepts /b and bexploring ptychographic reconstruction approaches /b to achieve improved resolution, stability, and imaging speed. /ppBy the end of the internship, the student will gain experience in: /pulliComputational imaging lens-free microscopy /liliOptical system modelling and simulation /liliPtychographic phase retrieval /liliImage reconstruction algorithms and optimization /liliExperimental optical coded surfaces and data acquisition /liliWorking with imec hardware and Python-based reconstruction pipelines /li /ulpbRequired Skills /b /pulliBackground in electrical engineering, optics/photonics, applied physics, or computer science. /liliExperience in bPython /b. /lili(Optional but beneficial) Knowledge of Fourier optics, inverse problems, or machine learning. /li /ulpbType of internship /b: Master internship /ppbRequired educational background /b: Electrotechnics/Electrical Engineering, Physics, Computer Science /ppThe reference code for this position is b2026-INT-018 /b. Mention this reference code in your application. /ppApplications should include the following information: /pulliresume /lilimotivation /lilicurrent study /li /ulpbDescription /b /ppIn coded ptychography, a patterned layer positioned near the sensor introduces spatial modulation that allows high-resolution phase retrieval without the need for lenses. /ppExpected Learning Outcomes /ppBy the end of the internship, the student will gain experience in: /pulliComputational imaging lens-free microscopy /liliOptical system modelling and simulation /liliPtychographic phase retrieval /liliImage reconstruction algorithms and optimization /liliExperimental optical coded surfaces and data acquisition /liliWorking with imec hardware and Python-based reconstruction pipelines /li /ulpbRequired Skills /b /pulliBackground in electrical engineering, optics/photonics, applied physics, or computer science. /liliExperience in bPython /b. /lili(Optional but beneficial) Knowledge of Fourier optics, inverse problems, or machine learning. /li /ulpbSupervising scientist(s) /b: /ppFor further information or for application, please contact Zhenxiang Luo ( ) and Ziduo Lin ( ). /ppThe reference code for this position is b2026-INT-018 /b. Mention this reference code in your application. /ppApplications should include the following information: /pulliresume /lilimotivation /lilicurrent study /li /ulpIncomplete applications will not be considered. /p /p #J-18808-Ljbffr