马萨里克大学PhD position in AI for Spatiotemporal Analysis of Cell Behavior申请条件要求-申请方
主办方
马萨里克大学
PhD直招介绍
About the Project
PhD Position: AI for Spatiotemporal Analysis of Cell Behavior in Large-Scale Bioimage Data
Faculty of Informatics, Masaryk University (FI MU), Brno, Czech Republic
Supervisor: Martin Maška
Host centre: Centre for Biomedical Image Analysis (CBIA( https://cbia.fi.muni.cz/ )), FI MU
Study programme: Ph.D. in Informatics
Form: Full-time (preferred)
Start: Spring 2027
Application deadline: November 30, 2026
Research Topic
We invite applications for a PhD position at the intersection of artificial intelligence, image segmentation, and object tracking, with primary applications in bioimage analysis.
The PhD project will be conducted within the Centre for Biomedical Image Analysis (CBIA( https://cbia.fi.muni.cz/ )) at the Faculty of Informatics, Masaryk University. CBIA provides a multidisciplinary research environment combining computer science, biomedical imaging, and clinical collaboration.
Modern fluorescence microscopy facilitates time-lapse observations of cells at unprecedented spatiotemporal resolutions, calling for reliable and automated bioimage analysis pipelines to quantitatively analyze the captured bioimage data in a reproducible fashion instead of conducting subjective and arduous manual analysis by experienced humans. Such pipelines are of immense need in developmental studies that routinely generate terabytes of multidimensional and multichannel image data with hundreds or thousands of collectively evolving cells. The large-scale nature of such bioimage data heavily limits the feasibility of manual annotations, which in turn is reflected in the limited reliability and depth of drawn biological conclusions about developing cell tissues. The primary objective of the PhD project is to develop deep-learning-based pipelines for reliable and resource-efficient segmentation and tracking of collectively evolving cells with nuclear, cytoskeletal, or membrane labeling during embryogenesis and organogenesis.
Possible Research Directions
Cell segmentation and tracking using foundation models
Cell tracking using graph neural networks
Semi-supervised / zero-shot cell instance segmentation
Shape- and motion-aware cell embeddings
Carbon-footprint-efficient tracking of cells
The exact topic will be specified jointly with the supervisor, depending on the candidate’s experience and interests.
Programme & Study Environment
The position is embedded in the four-year doctoral programme in Informatics at FI MU, delivered in English or Czech.
Doctoral students are expected to:
Conduct independent research under supervision
Publish at international venues
Participate in conferences and research stays abroad
References
https://cbia.fi.muni.cz/
马萨里克大学 PhD position in AI for Spatiotemporal Analysis of Cell Behavior项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Funding & Employment Conditions (full-time students)
Tuition fee: 0 CZK (also for English-language doctoral study)
Basic doctoral scholarship: 18,000 CZK / month
Employment contract (20% FTE): ~7,000 CZK net / month
Publication-performance scholarship: up to 7,000 CZK / month
Active PhD students typically reach ~32,000 CZK net monthly income during the standard study period.
马萨里克大学Phd申请条件和要求都有哪些？PhD position in AI for Spatiotemporal Analysis of Cell Behavior项目是不是全奖？有没有奖学金？下面我们一起看一下马萨里克大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Candidate Profile
Required
MSc in Computer Science, Biomedical Engineering, or related field
Strong background in deep learning and image processing
Programming skills (Python, PyTorch, scikit-image/OpenCV)
Solid mathematical foundation
Preferred
Experience with image segmentation or object tracking
Biomedical imaging background
Publication or open-source track record
GPU / HPC experience
报名方式
招生人信息
Assoc Prof M Maška
邮箱：xmaska@fi.muni.cz
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