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Pavel Matula

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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

Apr 29, 2026

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Country

Czech Republic

University

Masaryk University

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Where to contact

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Biology
Mathematics
Artificial Intelligence
Computer Vision
Python Programming
Bioimaging
Statistics
Machine learning

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 at the intersection of computer science, machine learning, and biological imaging. CBIA provides a multidisciplinary environment, fostering collaboration between computer vision experts, biologists, and biomedical researchers.

The research aims to address current limitations in evaluating segmentation, tracking, and lineage-reconstruction methods in microscopy. The goal is to design biologically meaningful, uncertainty-aware, and robust evaluation approaches that better reflect the needs of cell biology and biomedical imaging. Possible research directions include developing new metrics for segmentation and tracking, modeling inter-annotator variability, uncertainty-aware scoring, biology-driven composite metrics, stress-testing pipelines under various conditions, and creating open-source tools for reproducible evaluation. The exact topic will be tailored to the candidate’s background and interests in consultation with the supervisor.

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

Funding is available for full-time students, including a basic doctoral scholarship (18,000 CZK/month), an employment contract (20% FTE, ~7,000 CZK net/month), and a publication-performance scholarship (up to 7,000 CZK/month). Tuition is free for both Czech and English-language study. Active PhD students typically achieve a net monthly income of approximately 32,000 CZK during the standard study period.

Applicants should have an MSc in Computer Science, Applied Mathematics, Biomedical Engineering, or a related field, with a strong background in machine learning, image analysis, and Python programming. Preferred qualifications include experience with microscopy image analysis, knowledge of image-processing metrics and benchmarking, familiarity with segmentation and tracking pipelines, C++/GPU/HPC experience, and publication or open-source contributions.

To apply, submit your application through the Masaryk University e-application system. For further information or informal inquiries, contact the supervisor, Pavel Matula, at [email protected]. The application deadline is 30 April 2026, and the position is expected to start in Autumn 2026.

For more details about CBIA and the research environment, visit CBIA. Supervisor profile: Pavel Matula.

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. The programme is delivered in English or Czech.

How to apply

Apply through the Masaryk University e-application system. Visit https://www.fi.muni.cz/admission/doctoral/application.html for details. For informal inquiries, contact Pavel Matula at [email protected]. Prepare your application materials according to the programme requirements.

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