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Pavel Matula

5 months ago

PhD Position: Improving Evaluation Frameworks for Microscopy Image Analysis Masaryk University in Czech Republic

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Nov 30, 2026

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Country

Czech Republic

University

Masaryk University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Medical Imaging
Mathematics
Computer Vision
Python Programming
Bioimaging
Statistics

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About this position

This PhD position at the Faculty of Informatics, Masaryk University, offers an exciting opportunity to advance evaluation frameworks for microscopy image analysis. Hosted by the Centre for Biomedical Image Analysis (CBIA), the project is situated in a multidisciplinary environment at the intersection of computer science, microscopy, image analysis, and biomedical research. The research aims to address current limitations in evaluating segmentation, tracking, and lineage-reconstruction methods in microscopy, with a focus on designing biologically meaningful, uncertainty-aware, and robust evaluation approaches that better reflect the needs of cell biology and biomedical imaging.

Possible research directions include developing evaluation metrics for segmentation, tracking, and lineage reconstruction; modeling inter-annotator variability and imperfect ground truth; uncertainty-aware scoring and confidence intervals for algorithm performance; biology-driven composite metrics (such as shape, cell counts, division timing, migration behavior); stress-testing pipelines under noise, bleaching, drift, and domain shift; benchmark design and simulation of realistic error modes; and the development of open-source tools for reproducible evaluation. The exact research topic will be specified in collaboration with the supervisor, based on the candidate’s background and interests.

The position is embedded in a four-year doctoral programme in Informatics, delivered in English or Czech. Doctoral students are expected to conduct independent research under supervision, publish in international venues, participate in conferences and research stays, and contribute to the scientific community of CBIA and FI MU.

Funding and employment conditions are highly competitive. Tuition fees are fully waived (0 CZK), including for English-language doctoral study. The standard funding package for full-time students includes a basic doctoral scholarship of 18,000 CZK per month, an employment contract (20% FTE) with a net monthly salary of approximately 7,000 CZK, and a publication-performance scholarship of up to 7,000 CZK per month. Active PhD students typically achieve a net monthly income of around 32,000 CZK during the standard study period.

Applicants must hold an MSc in Computer Science, Applied Mathematics, Biomedical Engineering, or a related field. Essential qualifications include a solid background in machine learning and image analysis, programming skills in Python, and a strong mathematical foundation. Preferred qualifications are experience with microscopy image analysis or biomedical imaging, knowledge of image-processing metrics, benchmarking, or statistical evaluation, familiarity with segmentation and tracking pipelines, C++/GPU/HPC experience, and publication or open-source contributions. The doctoral programme is delivered in English or Czech, and proficiency in one of these languages is required.

To apply, candidates should submit their application through the Masaryk University e-application system. For informal inquiries about the research topic, contact Associate Professor Pavel Matula at [email protected]. Further information about CBIA can be found at https://cbia.fi.muni.cz/, and the supervisor’s academic profile is available at https://www.muni.cz/en/people/2927.

The application deadline is November 30, 2026. This position is ideal for candidates seeking to contribute to cutting-edge research in biomedical image analysis, computer vision, and machine learning within a collaborative and supportive academic environment.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must hold an MSc in Computer Science, Applied Mathematics, Biomedical Engineering, or a related field. A solid background in machine learning and image analysis, programming skills in Python, and a strong mathematical foundation are required. Preferred qualifications include experience with microscopy image analysis or biomedical imaging, knowledge of image-processing metrics, benchmarking, or statistical evaluation, familiarity with segmentation and tracking pipelines, C++/GPU/HPC experience, and publication or open-source contributions. English or Czech language proficiency is required for the doctoral programme.

How to apply

Apply through the Masaryk University e-application system. Prepare your CV and supporting documents. Contact Pavel Matula for informal inquiries about the research topic. Ensure your application is submitted by November 30, 2026.

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Professors

Associate Professor at Faculty of Informatics Masaryk University

University Name
Country flag

Czech Republic

Research Interests

Medical Imaging

Statistics

Mathematics

Machine Learning

Computer Science