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Carnegie Mellon University
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1 week ago
Postdoctoral Research Associate - Department of Mechanical Engineering Carnegie Mellon University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Carnegie Mellon University
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About this position
Carnegie Mellon University’s Department of Mechanical Engineering is recruiting a Postdoctoral Research Associate to join a highly collaborative computational modeling effort at the intersection of mechanics, transport, imaging, and cardiovascular medicine. The project focuses on building a new generation of multiscale computational models that link microstructural tissue mechanics, microvascular flow and transport, and tissue function across both in vivo human tissue and in vitro engineered tissue systems.
The postdoctoral researcher will work closely with experimental, computational, and clinical investigators as part of a tightly integrated team spanning CMU and other universities. The role emphasizes the development of fundamentally new computational methods with direct biological and translational impact, supporting an ambitious international effort to improve understanding of coronary microvascular disease.
The position is embedded in a broad Mechanical Engineering environment at Carnegie Mellon, where faculty and researchers work across advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. The appointee is expected to contribute to collaborative research that connects tissue microstructure and local mechanical and transport processes to emergent tissue-level functions, while helping advance reproducible and interdisciplinary science.
Funding details
Available
What's required
Doctorate degree with 0-1 year of experience is required. Applicants should have strong backgrounds in computational engineering, applied mathematics, biomechanics, biomedical engineering, mechanical engineering, computer science, or related disciplines. The advert seeks an excellent research record, demonstrated ability to conduct independent research, strong scientific communication skills, a commitment to collaborative and reproducible science, creativity, ambition, and enthusiasm for collaborative research. Relevant experience in finite element or computational mechanics, computational fluid dynamics and transport, multiscale or multiphysics modeling, scientific machine learning, computer vision and biomedical image analysis, parameter estimation, and integration of experimental or clinical imaging data with computational models is preferred; candidates do not need expertise in all areas, but should have deep expertise in one or more areas.
How to apply
Apply through the CMU Workday job posting using the provided application link. Follow the portal instructions and submit the required application materials there. If you need assistance or accommodation during the process, contact the university’s listed support email or phone number.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.