About the role
AI summarisedDrive frontier AI research and development at the intersection of computing, intelligence, and healthcare. This role involves developing novel architectures for foundation models (LLMs, vision, multimodal) and translating these advancements into high-impact clinical and biomedical applications.
ResearchOnsite
Key Responsibilities
- Develop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation models, and multimodal foundation models.
- Design and implement multimodal learning pipelines integrating text, imaging, omics, and real-world clinical data.
- Prototype AI systems for clinical and biomedical applications such as decision support, conversational AI, and drug discovery.
- Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
- Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization of AI solutions.
- Publish research in top-tier AI/ML venues (e.g., NeurIPS, ICML) and high-impact biomedical journals.
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
- Deep expertise in LLMs, vision foundation models, or multimodal AI.
- Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX).
- Proficiency in distributed/HPC training techniques.