"Research Engineer (Cardiac Digital Twins)"

Job Description

We aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Engineer is required to:

• Develop and validate novel multi-modal AI frameworks for integrated cardiac analysis, fusing imaging, electrophysiological, biomechanical, and clinical data.
• Design, implement, and benchmark deep learning models for cardiac mesh reconstruction, segmentation, and functional simulation (e.g., from cine MRI, CT, or echocardiography).
• Advance physics-informed or hybrid AI models for cardiac biomechanics and electrophysiology simulation.
• Collaborate with clinicians and data scientists to translate AI-driven tools into actionable clinical insights and workflows.
• Publish research in top-tier journals and conferences and contribute to open-source software in cardiac digital health.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong verbal and written communication skills and the comprehension to be able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Biomedical Engineering
Employee Referral Eligible: No
Job requisition ID: 31951

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