This PhD position at the Faculty of Informatics, Masaryk University, Brno, Czech Republic, offers an exciting opportunity to advance research in artificial intelligence for the spatiotemporal analysis of cell behavior using large-scale bioimage data. The project aims to develop novel AI and machine learning methods to analyze complex biological processes captured in high-resolution imaging datasets. The research will focus on integrating computer vision, deep learning, and data science techniques to extract meaningful patterns and insights from bioimage data, contributing to the understanding of cellular dynamics and behavior.

The successful candidate will join a vibrant research environment within the Faculty of Informatics, collaborating with experts in AI, computer vision, and biomedical data analysis. The project is supervised by Associate Professor M Maška, who specializes in bioimage analysis and computational biology. The position is ideal for students with a strong background in computer science, informatics, or related fields, and a keen interest in interdisciplinary research bridging technology and life sciences.

Applicants should possess a Master's degree in a relevant discipline, demonstrate proficiency in programming and data analysis, and have a solid foundation in artificial intelligence, machine learning, or computer vision. English language skills are required, and prior research experience is advantageous. The position does not explicitly mention funding availability; candidates are encouraged to inquire about potential scholarships or stipends during the application process.

The application deadline is 29 April 2026. Interested candidates should prepare their CV, motivation letter, and academic transcripts, and submit their application via the Masaryk University online portal. For further information and detailed instructions, refer to the project link provided. This opportunity is well-suited for motivated students seeking to contribute to cutting-edge research at the intersection of AI and biological sciences.