PhD Position Digital Holography for Metrology
Design advanced digital holography systems and machine learning algorithms for semiconductor metrology.
Best for:Best for applied physics or electrical engineering graduates with a strong interest in optics, signal processing, and machine learning.
Overview
Delft University of Technology is seeking a doctoral candidate to research advanced digital holography for semiconductor metrology applications. The project involves designing multi-angle and multi-wavelength imaging systems to visualize complex multi-layered structures, rough surfaces, and defects. The candidate will develop tomographic reconstruction and signal processing algorithms optimized with machine learning techniques to balance accuracy and imaging speed. Working within the Faculty of Applied Sciences, the successful applicant will collaborate closely with academic partners and high-tech industry stakeholders. The position is structured as a four-year doctoral training program with an initial evaluation period.
What you'll do
- Design and construct advanced digital holography systems for visualizing complex optical samples
- Utilize multi-angle and multi-wavelength measurements inspired by optical coherence tomography
- Develop advanced signal processing and tomographic reconstruction algorithms for accurate sample estimation
- Investigate and optimize the trade-off between estimation accuracy and imaging speed
- Apply machine learning techniques to improve algorithm speed and accuracy for real-time applications
- Apply developed metrology techniques to semiconductor samples in collaboration with industry partners
Requirements
Degree required: MSc in Applied Physics, Electrical Engineering, or equivalent
Degree offered: PhD
Language: English; good communication skills required
Instruction: English
- Demonstrable interest in optics and building high-performance imaging systems
- Background in signal processing, mathematics, or machine learning
- Strong foundation in applied physics principles
Funding & terms
How to apply
Deadline: 2026-10-15
Interested candidates should submit their application online through the official portal before the specified deadline. Upload all required documents in English, including a motivation letter, CV, grades, and thesis summary.
- Cover letter
- CV
- Grades
- Summary of MSc/PhD thesis
- List of publications
Contact
J. Kalkman· Contact Person
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