Computational holography relies on the characteristics of the light source for next-generation display technologies and microscopy. For high-quality color holography, however, the optical field emitted by the light source will need to be accurately characterized. Variations in amplitude, divergence, and wavefront could introduce optical aberrations and degrade holographic image quality.
This project aims to develop a wavefront characterization method for emerging color light sources and to systematically compare Shack-Hartmann wavefront sensing with camera-based phase retrieval.
Objectives
The main objectives are to:
Expected Outcomes
The project is expected to establish a quantitative comparison between Shack-Hartmann sensing and phase retrieval for wavefront characterization, together with a practical wavefront calibration method for color computational holography.
The resulting framework could subsequently be extended toward automated wavefront calibration for high-quality color holographic displays.
Supervisors: Hyun-su Kim (< email deleted for security reasons >) and Raees Muhamad (< email deleted for security reasons >)
Duration: 5-9 Months (possible to combine internship and master)
Type of internship: Master internship
Required educational background: Physics, Nanoscience & Nanotechnology, Mechanical Engineering, Computer Science
Supervising scientist(s): For further information or for application, please contact Hyun-su Kim (< email deleted for security reasons >) and Raees Kizhakkumkara Muhamad (< email deleted for security reasons >)
The reference code for this position is 2026-INT-145. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
Incomplete applications will not be considered.
This project aims to develop a wavefront characterization method for emerging color light sources and to systematically compare Shack-Hartmann wavefront sensing with camera-based phase retrieval.
Objectives
The main objectives are to:
- Characterize the wavefront emitted by the light source at different wavelengths.
- Compare Shack-Hartmann sensing and phase retrieval in terms of accuracy, spatial resolution, sensitivity, repeatability, and measurement complexity.
- Quantify wavefront aberrations using phase maps and Zernike decomposition.
- Investigate wavelength-dependent wavefront variations between blue, green, and red emission.
- Demonstrate how the measured wavefront could be used for SLM-based wavefront compensation and color CGH.
Expected Outcomes
The project is expected to establish a quantitative comparison between Shack-Hartmann sensing and phase retrieval for wavefront characterization, together with a practical wavefront calibration method for color computational holography.
The resulting framework could subsequently be extended toward automated wavefront calibration for high-quality color holographic displays.
Supervisors: Hyun-su Kim (< email deleted for security reasons >) and Raees Muhamad (< email deleted for security reasons >)
Duration: 5-9 Months (possible to combine internship and master)
Type of internship: Master internship
Required educational background: Physics, Nanoscience & Nanotechnology, Mechanical Engineering, Computer Science
Supervising scientist(s): For further information or for application, please contact Hyun-su Kim (< email deleted for security reasons >) and Raees Kizhakkumkara Muhamad (< email deleted for security reasons >)
The reference code for this position is 2026-INT-145. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
- resume
- motivation
- current study
Incomplete applications will not be considered.
