Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Diseases

Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Diseases

LIH - Luxembourg Institute of Health

Strassen, Luxembourg

Objectives

A key research focus of our group is the optimization of medical image-to-image translation models. In the present project, we will build foundation models for multimodal brain imaging and apply them to clinical radiology applications, temporal imaging data (perfusion imaging) and response to radiotherapy assessment. These models will explore recent diffusion and auto-regressive generative architectures. They will leverage Mixture of Experts, Chain of Thought and Retrieval-Augmented Generation to maximize their generalization and privacy. Related topics such as robustness and explainability will be also covered in tight collaboration with medical doctors and radiologists involved in the projects.

Training and research environment

The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double affiliation to the Department of Cancer Research and the Department of Precision Health of the LIH, and has access to state-of-the-art preclinical imaging equipment and deep learning computing infrastructures. The post-doctoral fellows will be supported through FNR CORE projects and will join an interdisciplinary project team, including biologists, medical imaging & computer science experts. The position foresees occasional traveling to and interactions with partner groups in Europe.

Key Skills, Experience and Qualifications

• PhD in machine learning, computer vision or a related field;
• Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image translation models and medical images analysis are considered important assets;
• Established expertise in key machine & deep learning frameworks and toolsets;
• Experience in GPU computing, HPC, Containers & Image processing tools would be appreciated;
• A strong track record of publications in high profile conferences or journals in the field;
• Independent and self-motivated person with scientific creativity and originality, strong team spirit and collaborative capacity. Excellent time management, rigour, perseverance and strong writing skills;
• Fluency in English is mandatory.