PhD Student (Scholarship Holder)_29.3

Euraxess; Toruń; On-site; PLN 56,000 - 73,000; Full time

Job summary

Nicolaus Copernicus University in Toruń, Poland, invites applications for a PhD scholarship under the Doctoral School.

The project, Imaging using Quantum Optical Coherence Tomography, aims to develop ML methods for Q-OCT systems and to train neural networks for artefact removal and resolution enhancement.

Qualifications

• Master’s Degree in Computer Science or Mathematics or Physics.
• Background in machine learning or programming.
• Knowledge of Optical Coherence Tomography or Quantum Optical Coherence Tomography preferred but not mandatory.
• 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

English proficiency

Quantum OCT knowledge

Education

Master's Degree in Computer Science or Mathematics or Physics

Job description

Faculty of Physics, Astronomy and Informatics

Organisation/Company Nicolaus Copernicus University Department Faculty of Physics, Astronomy and Informatics Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Dec 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Other Type of Contract Extra Information Scholarship under Doctoral School Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Dr Piotr Kolenderski, Professor at Nicolaus Copernicus Universityoffers a scholarship forPhD Student (Scholarship Holder) to work within the grant projectentitled “Imaging using Quantum Optical Coherence Tomography”

Requirements

Research Field Physics Education Level Master Degree or equivalent

Skills/Qualifications

Requirements:

• Master’s Degree in Computer Science or Mathematics or Physics or a relevant discipline.
• Background in machine learning or programming.
• Knowledge of Optical Coherence Tomography or Quantum Optical Coherence Tomography preferred but not mandatory.
• Very good command of spoken and written English.

Tasks:

• 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.

Specific Requirements

Description of duties :

The student’s aim will be to develop and apply machine learning methods for advanced Quantum Optical Coherence Tomography (Q-OCT) systems, in particular for Fourier-domain Quantum OCT (Fd-Q-OCT) and Swept Source Quantum OCT (SS-Q-OCT). The student will work on the development, optimisation, training, and validation of neural network architectures for the removal of artefacts and dispersion effects from Q-OCT signals, as well as on methods for improving image resolution. The research will also include the preparation of realistic training datasets based on experimental and simulated data, development of automated training-data generation methods, and testing of machine learning models on experimental Q-OCT signals.

A stipend of 5,000 PLN gross/month for a period of up to 24 months prior to the midterm evaluation

A stipend of 6,500 PLN gross/month for a period of up to 24 months following the midterm evaluation

Planned period of employment: up to 48 months, February 1st, 2027–January 31st, 2031

Selection process

The scholarship is awarded in accordance with the rules set out in the Regulations on the Award of Research Scholarships of the National Science Centre, adopted by Resolution No. 25/2024 of the Council of the National Science Centre dated 4 March 2024..

• CV
• Copies of obtained diplomas and certificates (if any)
• Copy or scan of candidate’s publications (if any)
• Information about scientific awards, scholarships and other distinctions (if any)
• D escription of current research activity (if applicable)

Applicants will be evaluated by a selection committee appointed by the Dean of the Faculty of Physics, Astronomy and Informatics. The committee will recommend the awarding (or rejection) of the scholarship no later than18.12.2026.

Candidates will be notified of the outcome of the competition by e-mail.

In the event of resignation of the selected candidate, the right to indicate the next candidate from the ranking list is reserved.

All documents should contain the candidate's signature or its scan.

Language of application: Polish or English.

Work Location(s)

Number of offers available 1 Company/Institute Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Poland, Toruń Country Poland State/Province Kuyavian-Pomeranian Voivodeship City Toruń Postal Code 87-100 Street Grudziądzka 5-7 Geofield