PhD Candidate: AI for Medical Image Analysis

jobRxiv; España; On-site; EUR 16,740 - 23,436; Full time

Job summary

The Institute of Biomedicine of Seville (IBiS) / University of Seville invites applications for a fully funded 3-year PhD position focused on AI for medical image analysis and clinical decision support in neuromuscular diseases. The project aims to develop state-of-the-art deep learning methods to extract clinically relevant information from routine diagnostic images.

The candidate will join a multidisciplinary team, work on CNNs, Vision Transformers, and explainable AI, and enroll in the

Qualifications

• European ID holder (EU citizenship or valid work permit).
• MSc degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Biomedical Engineering, Mathematics, Physics, or related discipline.
• Excellent writing and communication skills in English.
• Motivation to pursue a PhD; will be enrolled in the PhD programme in Biología Integrada at the University of Seville.
• Spanish speaker.
• 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.

Responsibilities

• Develop AI methods for the analysis of medical images and clinical decision support.
• Collaborate with clinicians and researchers across departments.
• Prepare publications and present findings.
• Contribute to data management and software tools for experiments.

Skills

Computer vision

Image analysis

PyTorch

TensorFlow

CNNs & Vision Transformers

Git

Scientific computing

English writing

Education

MSc degree in Computer Science / AI / Data Science / related fields

Enrolled in PhD programme (Biología Integrada, University of Seville)

Tools

PyTorch

TensorFlow

Git

Job description

The Institute of Biomedicine of Seville (IBiS) / University of Seville invites applications for a fully funded 3-year PhD position focused on AI for medical image analysis and clinical decision support in neuromuscular diseases. The project aims to develop state-of-the-art deep learning methods to extract clinically relevant information from routine diagnostic images.

The candidate will join a multidisciplinary team, work on CNNs, Vision Transformers, and explainable AI, and enroll in the