Join Us

The Digital Heart Research Group is part of the Engineering Medicine Research Group at the Medical School of Nanjing University.

中文招聘信息

长期招聘博士后、助理研究员、科研助理，招收博士或硕士研究生、访问学生及本科生。欢迎对医工交叉、数字医学、心血管疾病、人工智能等相关领域感兴趣的同学加入，共创数字孪生驱动的精准医学新模式。

重点招聘招生领域（博士后、博士、硕士、科研助理；也可推荐至附属鼓楼医院）：

• 专业方向：计算机、电子信息、生物医学工程等医工交叉学科。在心脏数字孪生、复杂器官系统与疾病数字建模、深度学习驱动复杂系统模型代理、基于深度学习的因果推理、或虚拟现实技术等相关领域有经验者优先。
• AI 分析与数字孪生构建方向：深度学习代理模型（Surrogate Model）开发；基于深度学习的因果推理方法解析复杂病理机制；跨学科协作。
• 多器官数字孪生建模方向：心脏数字孪生模型开发；高性能计算与算法实现；多器官模型集成与验证，跨学科协作。

联系方式： hni (at) nju.edu.cn

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In English

We are actively recruiting curious, motivated people to help build digital twins of the human heart and use them to understand and treat cardiovascular disease. We welcome applicants from diverse educational backgrounds — computer science, electronic & information engineering, biomedical engineering, physics, applied mathematics, mechanical engineering, physiology, pharmacology, cardiology, and clinical medicine.

Prior experience in any of the following is a plus:

• Heart digital twins and complex-system modeling of disease
• Deep-learning surrogate models for physics-based simulators
• Causal inference for mechanistic understanding of disease
• Virtual / augmented reality for clinical and scientific applications
• High-performance computing for biomedical simulation

Contact: hni (at) nju.edu.cn

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Postdoctoral Fellows

Postdoctoral positions are open to candidates with (or expecting) a Ph.D. in a relevant field. Strong computational, mathematical, or experimental backgrounds are all welcome.

To apply, please email hni (at) nju.edu.cn with:

• A brief statement of research interests (1 page)
• CV with publication list
• Names and contact details of 2–3 references

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Ph.D. and Master’s Students

Prospective graduate students apply through the standard admission channels of Nanjing University. If you are interested in joining the group, please email hni (at) nju.edu.cn in advance — ideally before applying — with your CV and a short note describing your background and interests.

We also co-supervise students with affiliated hospitals and departments, including Nanjing Drum Tower Hospital.

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Research Assistants & Technical Staff

We recruit research assistants and technical staff in two broad areas:

AI / digital-twin analytics

• Deep-learning surrogate models
• Causal-inference methods for complex pathology
• Cross-disciplinary collaboration

Multi-organ digital-twin modeling

• Heart digital-twin development
• High-performance computing and algorithmic implementation
• Multi-organ integration, validation, and collaboration

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Visiting Students & Undergraduates

We host visiting graduate students and undergraduates interested in short- or medium-term research projects. Please email with your CV, availability, and a brief description of what you would like to learn or contribute.