Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

professor profile picture

Pavel Matula

Associate Professor at Faculty of Informatics Masaryk University

Masaryk University

Country flag

Czech Republic

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar
Academic Page

Research Interests

Medical Imaging

20%

Artificial Intelligence

10%

Mathematics

20%

Python Programming

20%

Bioimaging

20%

Computer Vision

20%

Computer Science

20%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions2

Publisher
source

Pavel Matula

University Name
.

Masaryk University

PhD Position: Improving Evaluation Frameworks for Microscopy Image Analysis

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 .

3 months ago

Publisher
source

Pavel Matula

University Name
.

Masaryk University

PhD Position: Improving Evaluation Frameworks for Microscopy Image Analysis

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.

New Today