About the project. In this postdoctoral project, you will develop innovative multimodal AI frameworks to integrate diverse cardiovascular data sources. Your research will focus on combining imaging data (e.g., cardiac MRI, echocardiography), signals (e.g., electrocardiography, intracardiac signals), clinical measurements, molecular and genomic profiles to improve diagnostic accuracy and patient stratification in cardiovascular diseases.
You will work on synthetic data generation techniques to improve multi-centre training while maintaining privacy, and develop methods to optimize cross-modal representations for enhanced predictive modeling.
What you do
As a postdoctoral researcher, you will:
- Design and implement novel multimodal AI architectures for cardiovascular applications.
- Develop synthetic data generation methods to augment sparse modalities.
- Create frameworks for joint optimization of cross-modal representations.
- Validate models using clinical datasets in collaboration with cardiologists.
- Mentor PhD and MSc students and present findings at international conferences.
- Intend to apply for grants to expand the research group, and potentially start your own research group.
Profile
- You have a PhD in Computer Science, AI/ML, Biomedical Engineering, or a related field.
- You demonstrate strong programming skills in Python and have experience with deep learning frameworks such as PyTorch; experience with high performance computing infrastructures is a plus.
- You have experience in medical image analysis (multimodal learning experience is a plus).
- You have a publication track record in top AI/ML or medical informatics venues such as NeurIPS, ICLR, MICCAI, or SPIE Medical Imaging; and/or in translational venues such as Nature portfolio journals (Nature Medicine, Nature Cardiovascular Medicine, npj Digital Medicine).
- Experience with clinical healthcare data systems is a plus.
Practical
- You will collaborate with doctoral candidates, postdoctoral researchers, analysts, and clinical researchers conducting patient studies.
- Active participation in the design and execution of ongoing research projects, with ample room for your own initiatives.
- You will work within a highly interdisciplinary department where informatics researchers work closely together with practicing cardiologists to advance the use of AI for personalised treatment.
- The ultimate goal is to be able to accurately predict and simulate the effect of the best possible treatment for a patient.
- An open culture with generally accessible collaboration and equal opportunities for everyone.
- Many opportunities for international collaborations with top-tier AI-research groups.
- Support is provided in project management, finance, human resources, and legal for medical scientific research projects.
How to apply
View the full assignment text and application details once your tailored application is ready.
Order a tailored application to view the full assignment and application details.
More context, less searching.
You get enough context to judge whether this job is relevant. The full brief, client details and next steps stay available inside the app.