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PhD Student
PhD student in artificial intelligence for medical image analysis Full-time NEW
We are seeking a highly motivated PhD candidate to join a newly funded research project focused on the development of Artificial Intelligence methods for the analysis of medical images and clinical decision support in neuromuscular diseases. We offer a fully funded 3-year PhD position at Instituto de Biomedicina de Sevilla (IBiS); Hospital Universitario Virgen del Rocío / CSIC / Universidad de Sevilla.
The project aims to develop state-of-the-art deep learning approaches capable of extracting clinically relevant information from routine diagnostic images, aiding clinicians improve disease detection and characterization.
Related research topics
Neuromuscular diseases, deep learning and computer vision, bioimage analysis, convolutional neural networks, vision transformers, explainable AI and foundation models in bioimaging.
Candidate Profile
Required
- MSc degree (or equivalent) in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Biomedical Engineering, Mathematics, Physics, or related disciplines.
- Strong programming skills.
- Excellent writing and communication skills in English.
- Motivation to pursue a PhD. The selected candidate will be enrolled in the PhD programme in “Biología Integrada” at the University of Seville.
Desirable
- Experience in Computer Vision and image analysis.
- Experience with machine/deep learning frameworks (e.g., PyTorch or TensorFlow).
- Knowledge of CNNs and/or Vision Transformers.
- Experience with biomedical or medical imaging data.
- Familiarity with Git, and scientific computing environments.
Application
Interested candidates should send:
- CV together with academic records.
- Short statement of research interests.
Start date: Depending on the start date of the projects: “CSyC 2026- Proyectos FEDER (RPS 24664). Proyectos estratégicos en salud digital e inteligencia artificial”. Presumably during 2026.