PhD: Quantum OCT with ML for High-Res Imaging

EURAXESS Czech Republic; Toruń; On-site; PLN 56,000 - 73,000; Full time

Job summary

Nicolaus Copernicus University invites applications for a PhD scholarship in Quantum Optical Coherence Tomography. The project focuses on developing ML methods for Q-OCT signals and training neural networks for artefact and dispersion removal.

The scholarship provides 5,000 PLN gross per month for up to 24 months, rising to 6,500 PLN gross per month for up to 24 more months, with planned employment from 1 Feb 2027 to 31 Jan 2031.

Qualifications

• Master’s Degree in Computer Science or Mathematics or Physics or a relevant discipline.
• Background in machine learning or programming.
• Very good command of spoken and written English.

Responsibilities

• Development and optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals.
• Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT systems.
• Preparation and generation of training datasets based on experimental and simulated Q-OCT data.
• Development of automated methods for generating training data from experimentally acquired joint spectra.
• Validation of machine learning models on experimental Q-OCT signals.
• Development of neural-network-based methods for improving the resolution of Q-OCT images.

Skills

Machine learning

Programming

Education

Master's degree in Computer Science or Mathematics or Physics

Job description

Nicolaus Copernicus University invites applications for a PhD scholarship in Quantum Optical Coherence Tomography. The project focuses on developing ML methods for Q-OCT signals and training neural networks for artefact and dispersion removal.

The scholarship provides 5,000 PLN gross per month for up to 24 months, rising to 6,500 PLN gross per month for up to 24 more months, with planned employment from 1 Feb 2027 to 31 Jan 2031.