PhD: Lensless 3D optical imaging

ARCNL; Amsterdam; Hybrid; EUR 32,000 - 38,000; Full time

Benefits offered by this job

Housing support

Visa assistance

Transport costs covered

Furnishing support

Job summary

ARCNL, located at Amsterdam Science Park, invites applications for a four-year full-time PhD project in Computational Optical Imaging. The work combines optical experiments with algorithm development to achieve 3D lensless imaging using ptychography, structured illumination, and fiber-based detection.

You will build and optimize ptychography setups with visible light, SLMs and multimode fibers, and develop reconstruction algorithms with compressive sensing and machine learning for depth-resolved

Qualifications

• MSc degree in physics, optics, photonics or a related field.

Responsibilities

• Develop 3D lensless imaging approaches based on ptychography, structured illumination, and fiber-based detection.
• Build and optimize ptychography setups using visible light, spatial light modulators, and multimode fibers.
• Develop reconstruction algorithms using compressive sensing and data-driven machine learning for depth-resolved 3D imaging.
• Collaborate with ASML on wafer metrology for the project.

Job description

Computational optical imaging is a powerful tool to recover object structure from diffraction patterns without relying on conventional high-quality optics and microscope objectives. While many lensless approaches already work well for 2D imaging, achieving high-resolution volumetric reconstruction of complex structures in compact fiber-based format remains a major challenge.

In this project you will push the boundaries of optical microscopy and develop new approaches for 3D lensless imaging based on ptychography, structured illumination, fiber-based detection and physics-informed computational reconstruction. The work will combine optical experiments with algorithm development. On the experimental side, you will build and optimize ptychography setups using visible light, spatial light modulators, and multimode fibers. You will investigate optimized illumination and detection schemes that maximise information content and imaging performance. On the computational side, you will develop reconstruction algorithms based on compressive sensing and data-driven machine learning approaches for depth-resolved 3D imaging. You will exploit the diversity provided by structured speckle illumination together with sparsity priors to reconstruct complex optical fields and depth-dependent sample structure from a limited set of measurements.

The project includes the development of a compact all-fiber 3D imaging demonstrator aimed at applications in semiconductor metrology. You will therefore collaborate with ASML research on wafer metrology.

Qualifications

You have a MSc degree in physics, optics, photonics or a related field.

Work environment

ARCNL performs fundamental research, focusing on the physics and chemistry involved in current and future key technologies in nanolithography, primarily for thesemiconductor industry. While the academic setting and research style are geared towards establishing scientific excellence, the topics in ARCNL’s research program are intimately connected with theinterests of the industrial partner ASML. The institute is located at Amsterdam Science Park and currently employs about 100 persons of which 65 are ambitious (young) researchers from all over the globe. www.arcnl.nl

Working conditions

The position is intended as full-time (40 hours / week, 12 months / year) appointment in the service of the Netherlands Foundation of Scientific Research Institutes (NWO-I) for the duration of four years, with a starting salary of gross € 3.115per month and a range of employment benefits . After successful completion of the PhD research a PhD degree will be granted at a Dutch University. Several courses are offered, specially developed for PhD-students. ARCNL assists any new foreign PhD-student with housing and visa applications and compensates their transport costs and furnishing expenses.

Diversity code

ARCNL is highly committed to an inclusive and diverse work environment: we want to develop talent and creativity by bringing together people from different backgrounds and cultures. We recruit and select on the basis of competencies and talents. We strongly encourage anyone with the right qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical ability.

Online screening may be part of the selection.