低场心脏磁共振成像博士职位
Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging
原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 该项目涉及磁共振成像技术和方法的开发,用于评估心血管系统
- 申请条件
- 硕士学位,电气工程、生物医学工程、计算机科学或物理学背景,优秀的编程技能和对医疗成像物理、信号和数据处理的浓厚兴趣
- 待遇
- 提供第一级别的基础设施,包括实验和临床MR系统、计算机和云计算资源、机械、电气和电子开发项目的车间
- 申请方式
- 申请方式:在线申请,包括motivation letter、详细CV、study subjects、两位推荐人的联系信息
- 材料清单
- motivation letter
- 详细CV
- study subjects
- 两位推荐人的联系信息
由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成,博士岗判定置信度 90%。
结构化信息
- 截止
- 原帖未给出
- 学科
- 生物化学、遗传与分子生物学
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 导师
- Prof. Dr. Sebastian Kozerke
- 来源
- 瑞士高校与研究机构官方招聘 · 最近核对 2026-10-06
判定依据(原文摘录)
- is_phd
Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging
- english_ok
We are a dynamic and international team
- bachelor_ok
You hold a Master of Science degree with first-class grades
- employment_type
We offer
原文
Doctoral Position in Lower-Field Cardiac Magnetic Resonance Imaging
100%, Zurich, fixed-term
print Drucken
The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next generation of diagnostic tools for quantification of blood flow, organ perfusion, metabolism and function, tissue composition, microstructure and mechanics. The group exploits principles from physics, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients.
Project background
The project is based on previous and ongoing work of the group demonstrating benefits of ramping down high-performance clinical MR systems to lower static magnetic field strengths. In conjunction with advanced MR pulse sequence design and image reconstruction approaches, excellent image quality is achievable. Moreover, given the lower static field, options to stacked and concurrent imaging of electric and magnetic sources in the heart become possible. To this end, data for deep inference and digital twinning of the heart is obtained.
Job description
• The position concerns MR pulse sequence design and image reconstruction, data inference and fusion using classical and physics-informed machine learning approaches to advance time-resolved morphological and tissue property imaging of the heart
• The work will involve numerical simulations, experimental measurements and applications on volunteers
• Together with the team and clinical partners, example data in patients will be obtained to populate digital twins and to indicate the diagnostic value of lower-field deep CMR imaging
Profile
• You hold a Master of Science degree with first-class grades in: Electrical engineering, Biomedical engineering, Computer science or Physics
• You have developed a keen interest in medical imaging physics, signal and data processing
• Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and practical work are a premise
• The ability to develop own lines of thought, to critically interpret data and a drive to innovate are further requirements along with curiosity, open mindedness, team player and communication skills
Workplace
Workplace
We offer
We are a dynamic and international team embedded in both electrical engineering and the medical faculty, with a long-standing track record in CMR research. First-class infrastructure is available, including a full range of experimental and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU, GPU) and workshops for mechanical, electrical and electronic development projects. Long-standing and very successful cooperations with industry and clinical partners (cardiology, radiology) offer opportunities for networking as well as for deployment of research results in real-world applications.
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We value diversity and sustainability
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .
Curious? So are we.
We look forward to receiving your online application including:
• Motivation letter
• Detailed CV
• Study subjects including grades and
• Contact information of two referees
Further information can be found on our Website . Questions regarding the position should be directed to Prof. Dr. Sebastian Kozerke, kozerke@biomed.ee.ethz.ch (no applications).
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.