Asks for

The ad says“Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills.”
The ad says“The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc 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.”
The ad says“Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems.”
The ad says“The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc 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.”
The ad says“Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills.”
The ad says“The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc 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.”
The ad says“Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills.”
The ad says“Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems.”
The ad says“Experimental fluid mechanics and advanced flow visualization techniques (e.g., Particle Image Velocimetry (PIV), flow imaging, or related experimental methods).”
The ad says“Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems.”
The ad says“The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc 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.”
The ad says“Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems.”

JOB TITLE

Post-Doctoral Fellow

LOCATION

Worcester

DEPARTMENT NAME

Biomedical Engineering - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc 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.

JOB DESCRIPTION

AIMCardio Lab

The 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

PhD. in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a closely related field.

Demonstrated research excellence through publications for postdoc applicants in one of the following areas:

Experimental fluid mechanics and advanced flow visualization techniques (e.g., Particle Image Velocimetry (PIV), flow imaging, or related experimental methods).

Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills.

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 and will remain open until all positions are filled. Please submit the following materials as a single PDF file:

A brief cover letter outlining your expertise, research background, and research interests

A current curriculum vitae (CV)

Academic transcripts for all completed degrees (Bachelor’s, Master’s, and Ph.D., if applicable)

Full PDF copies of 3-5 representative peer-reviewed journal publications

Contact information for three professional references

Compensation:

Salary: $50,000 - $60,000 per year. Salary is based on related experience, expertise, and internal equity. WPI’s benefits package includes a robust retirement match, wellness perks, tuition assistance and more!

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

Asks for

Values