PhD Position: Generative Modelling in Biomedical Imaging

This PhD position focuses on generative modelling in biomedical imaging, a cutting-edge area at the intersection of artificial intelligence, computer vision, and medical science. Hosted by the Faculty of Informatics at Masaryk University in Brno, Czech Republic, the project aims to advance the development and application of generative models for medical image analysis, synthesis, and diagnostics. The research will leverage state-of-the-art machine learning techniques, including deep learning and neural networks, to address challenges in biomedical imaging such as data augmentation, image reconstruction, and pattern recognition. The successful candidate will join a vibrant research environment with access to interdisciplinary expertise and resources. The project is supervised by Associate Professor D Svoboda, who has extensive experience in biomedical imaging and computational modelling. The Faculty of Informatics offers a collaborative atmosphere, modern facilities, and opportunities for international networking and conference participation. Applicants should have a strong academic background in computer science, biomedical engineering, or related fields, with demonstrated skills in artificial intelligence, machine learning, and programming. Prior experience in medical image analysis or generative modelling is highly desirable. English proficiency is required for both research and communication. While the position does not explicitly mention funding availability, candidates are encouraged to inquire about potential scholarships or stipends through the university or supervisor. The application deadline is 29 April 2026, providing ample time to prepare necessary documents and reach out for further information. To apply, candidates should submit their application via the Faculty of Informatics online portal, including a CV, motivation letter, and academic transcripts. For detailed instructions and project information, refer to the official FindAPhD project page.