Worcester Polytechnic Institute
2 weeks ago
Postdoc in Scientific Machine Learning for Physiological Flow and Cardiovascular Biomechanics Worcester Polytechnic Institute in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two postdoc positions are offered. The initial appointment is for one year with the possibility of renewal based on performance, and the successful candidate is expected to commit to a minimum of two years. No stipend or salary amount is stated.
Country
United States
University
Worcester Polytechnic Institute
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About this position
The AIMCardio Lab at Worcester Polytechnic Institute is offering two postdoc positions in scientific machine learning for physiological flow. The research sits at the intersection of fluid-structure interaction, cardiovascular biomechanics, computational and experimental modeling, and AI-driven modeling for cardiovascular diseases and medical devices.
The lab reports collaborations with major U.S. hospitals and medical centers, including Children’s Hospital of Philadelphia, Boston Children’s Hospital, UMass Chan Medical School, Columbia University Hospital, Children’s Hospital of Atlanta, and Geisinger Medical Center, as well as industry partners such as Abbott, Edwards Lifesciences, Boston Scientific, and Medtronic.
Eligibility: applicants should hold a PhD (or equivalent) in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, or a closely related field. The post specifically seeks candidates with research experience and peer-reviewed publications in scientific machine learning, especially physics-informed neural networks (PINNs) and data-driven modeling of physical systems.
Funding/appointment: the appointment is initially for one year, renewable based on performance, with an expected minimum commitment of two years. No salary or stipend amount is listed in the post.
How to apply: send a single PDF to [email protected] with the subject line “Postdoc Application.” Include a CV, academic transcripts (Bachelor’s, Master’s if applicable, and PhD), three representative peer-reviewed journal articles, and contact details for three professional references. Applications are reviewed on a rolling basis until the positions are filled.
Location: Worcester, Massachusetts, United States.
Funding details
Two postdoc positions are offered. The initial appointment is for one year with the possibility of renewal based on performance, and the successful candidate is expected to commit to a minimum of two years. No stipend or salary amount is stated.
What's required
Applicants must hold a PhD or equivalent in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, or a closely related field. Candidates should have demonstrated research experience and peer-reviewed publications in scientific machine learning, including physics-informed neural networks (PINNs), and data-driven modeling of physical systems. Preferred experience includes independent and collaborative research, experimental and numerical data analysis, publication in high-impact journals, conference presentations, grant proposal development, industry-sponsored and translational research, innovation-oriented technology development, and mentoring students and research staff.
How to apply
Email a single PDF application to [email protected] with the subject line “Postdoc Application.” Include a CV, academic transcripts, three representative peer-reviewed journal articles in full PDF, and contact information for three professional references. Applications are reviewed on a rolling basis until filled.
More information can be found here
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