| 查看: 904 | 回复: 1 | |||
[交流]
生物流体博士后 (Simulation, Experiment, and Scientific Machine Learning) 已有1人参与
|
|
Please see the attachment for a better version. Postdoctoral Research Positions in Physiological Fluid Mechanics (Simulation, Experiment, and Scientific Machine Learning): The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for three postdoctoral research positions. We are looking for highly motivated, collaborative, and enthusiastic researchers with expertise in fluid-structure interaction, computational and experimental fluid mechanics, and/or scientific machine learning, with applications to cardiovascular diseases and medical devices. The initial appointment is for one year, with the possibility of renewal based on performance and funding availability. Successful candidates are expected to commit to a minimum two-year appointment. About AIMCardio Lab conducts cutting-edge research in computational and experimental fluid-structure interaction, cardiovascular biomechanics, digital health, and AI-driven modeling. The laboratory maintains long-standing collaborations with leading hospitals and medical centers across the United States, including the Hospital for Sick Children (Toronto), Children’s Hospital of Philadelphia (Philadelphia), and Columbia University Irving Medical Center (New York). We also collaborate closely with major medical device companies, including Abbott, Edwards Lifesciences, Boston Scientific, and Medtronic, to develop next-generation cardiovascular technologies and translational solutions. More information about our research can be found at: AIMCardioLab.wpi.edu Required Qualifications • Ph.D. (or equivalent) in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a closely related field. • Demonstrated research excellence through peer-reviewed publications in one or more of the following areas: o Experimental fluid mechanics and advanced flow visualization techniques (e.g., Particle Image Velocimetry (PIV), flow imaging, or related experimental methods). o Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills. o Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems. Preferred Qualifications • Experience conducting research in physiological fluid mechanics and cardiovascular flow systems. • Experience contributing to competitive research grant proposals • Experience in innovation-driven technology development, intellectual property generation, or commercialization activities (e.g., invention disclosures or patent applications). • Strong mentoring skills and a demonstrated ability to supervise graduate students and undergraduate researchers. • Excellent written and verbal communication skills and the ability to work effectively in interdisciplinary research teams. What We Offer • Opportunities to work on high-impact projects at the intersection of cardiovascular biomechanics, artificial intelligence, and translational medicine. • Access to state-of-the-art computational and experimental research facilities. • Extensive collaborations with leading clinicians, researchers, and medical device companies. • A highly interdisciplinary and supportive research environment with strong opportunities for career development in academia, industry, and entrepreneurship. Application Instructions: Applications will be reviewed on a rolling basis until positions are filled. Please submit all materials as a single PDF file to ZWei1@wpi.edu with the subject line: “Postdoc Application – [Area of Expertise]” • Curriculum Vitae (CV) • Academic transcripts (Bachelor’s, Master’s, and Ph.D., if applicable) • Three representative peer-reviewed journal publications (full PDF versions) • Contact information for three professional references |
回复此楼» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : AIMCardioLab_Postdoc_2026.pdf
2026-08-05 01:13:44, 194.34 K
» 猜你喜欢
售SCI一区T0P文章，我:8O.55.1.O.54,科目全,可伽急
已经有4人回复
-
售SCI一区T0P文章，我:8.O.55.1.O54,科目全,可伽急
已经有4人回复
-
售SCI一区文章，我:8O5.5.1.O5.4,科目全,可伽急
已经有3人回复
-
售SCI一区T0P文章，我:8O.55.1.O.5.4,科目齐全,可+急
已经有6人回复
-
售SCI一区T0P文章，我:8.O55.1.O.54,科目全,可十急
已经有3人回复
-
售SCI一区T0P文章，我:8.O55.1.O.54,科目全,可十急
已经有4人回复
-
售SCI文章，我:8O.5.5.1O.54,科目全,可十急
已经有3人回复
-
售SCI一区文章，我:8O5.5.1.O5.4,科目全,可伽急
已经有6人回复
-
售SCI一区文章，我:8.O.551.O.5.4,科目全,可伽急
已经有4人回复
-
售SCI一区文章，我:8.O.55.1.O.54,科目齐全,可伽急
已经有4人回复
fangjinzheng
铁虫 (小有名气)
- 应助: 0 (幼儿园)
- 金币: 33.3
- 散金: 20
- 帖子: 282
- 在线: 139.9小时
- 虫号: 3468756
- 注册: 2014-10-11
- 性别: GG
- 专业: 机械动力学
2楼2026-08-05 10:18:34
