PhD Fellowship in AI-Driven Cardiac Imaging for Valve Analysis

GE HealthCare; Norway; On-site; NOK 600,000 - 800,000; Full time

Job summary

GE HealthCare is seeking a PhD candidate to advance AI-enabled cardiac imaging. The project focuses on generative AI to improve mitral valve disease assessment using echocardiography data, with collaboration across Europe and secondments in Oslo, Spain and the UK.

The doctoral candidate will develop novel methods, leverage public datasets like CAMUS, and aim to integrate outcomes into clinical software for prospective evaluation.

Qualifications

• Master's degree in ML, CS, statistics, applied mathematics or electrical engineering.
• Strong background in deep learning and linear algebra.
• Proficient in Python and ML frameworks (PyTorch, TensorFlow).
• Fluent English communication.

Responsibilities

• Develop generative AI methods for echocardiography data.
• Analyze modalities like b-mode and color flow; create synthetic images.
• Collaborate with academic and clinical partners across Europe.
• Integrate methods into clinical software and prospective study design.

Skills

Machine learning

Python programming

Deep learning

Mathematics

Education

Master's degree

Tools

PyTorch

TensorFlow

Job description

GE HealthCare is seeking a PhD candidate to advance AI-enabled cardiac imaging. The project focuses on generative AI to improve mitral valve disease assessment using echocardiography data, with collaboration across Europe and secondments in Oslo, Spain and the UK.

The doctoral candidate will develop novel methods, leverage public datasets like CAMUS, and aim to integrate outcomes into clinical software for prospective evaluation.