Postdoctoral Research Associate in Fetal Cardiology Computational Modelling via AI and Biomechanics Simulations
Core
Developing AI tools and computational models for rapid assessment of fetal heart anatomy/function from echocardiography to optimize patient selection for fetal aortic valvuloplasty.
Role type
Postdoctoral Research Associate (AI/Computational Modelling in Fetal Cardiology)
Builds
AI algorithms for fetal heart assessment, predictive algorithms for patient selection, and computational models for intervention outcomes.
Domain
Healthcare / Fetal Cardiology / Artificial Intelligence / Biomechanics
Deliverable
production ML models
Required skills
Machine learning, deep learning, coding, correlation analysis, model development and testing, data collation
Preferred skills
Cardiology domain knowledge, mentoring undergraduate/Masters/PhD students, academic publishing, grant writing
Technologies
Echocardiography image analysis, AI frameworks (implied by ML/DL context)
Responsibilities
Develop AI algorithms for fetal heart assessment, perform correlation analysis on fetal heart growth and birth outcomes, develop predictive algorithms for patient selection, liaise with cardiologists on data and results, co-mentor students, publish findings and attract funding
Seniority
Postdoctoral Research Associate (early-career researcher)
