What you will do
* Design, implement, and validate algorithms and deep learning models for 3D cardiac CT and related medical imaging data
* Collaborate with internal and external stakeholders to define requirements, propose solutions, and ensure clinical relevance
* Document research workflows, results, and performance metrics in compliance with medical software standards
* Optimize algorithms for patient-specific planning and medical image processing tasks
* Validate model performance and communicate findings to stakeholders
* Work with cross-functional teams to integrate and deploy algorithms in clinical workflows
* Stay current with developments in AI, medical imaging, and related technologies, proactively introducing new ideas to the team
Your profile
* Master's degree in biomedical engineering, computer science, electrical engineering, or a related field
* 3+ years of professional hands-on experience in machine learning/deep learning, preferably using PyTorch
* Proficiency in Python and relevant data science frameworks (e.g., MONAI, PyTorch Lightning, NumPy, Pandas)
* Strong analytical, problem-solving, and communication skills
* Fluent in English, both written and verbal
* Able to work independently and collaboratively in a multidisciplinary team
* Experience within a DevOps ecosystem (Git, CI/CD, Docker, etc.)
Preferred:
* Experience with medical image segmentation, cardiac imaging, or structural heart planning
* Familiarity with cloud computing platforms (AWS, Azure, GCP)
* Understanding of Agile development practices
* Experience with deploying AI models in clinical environments
Location and type of contract
* Ghent, Belgium
* Full-time
* Hybrid
* Associate level
* CV in English