Publisher
source

Inria

PhD in AI and Medical Ultrasound at Inria Côte d’Azur Inria Côte d’Azur in France

Degree Level

PhD

Field of study

Computer Science

Funding

3-year PhD position with an Inria PhD salary of approximately 2,300€ gross per month.

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Country

France

University

Inria

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Computer Vision
Medical Science
Ultrasound Technology
Semantic Segmentation
Physics

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About this position

PhD opportunity in AI and medical ultrasound at Inria Côte d’Azur in Sophia Antipolis, France. The project, SynthUS, focuses on deep learning for medical imaging, combining generative AI with physics-based models to build robust ultrasound foundation models.

The research topics include image generation, domain randomisation, differentiable ultrasound simulation, and foundation models for ultrasound segmentation. The post highlights the challenge of variability in ultrasound imaging and aims to extend the SynthSeg-style domain randomisation approach to ultrasound.

Applicants should have a Master’s background in AI, computer vision, or a related field, with strong knowledge of machine learning for medical imaging. Required skills include advanced Python, ideally with PyTorch and TensorFlow, plus good scientific writing and communication skills. Interest in interdisciplinary research is emphasized.

The position lasts 3 years and starts in January 2027. Funding is a paid PhD salary from Inria, around 2,300€ gross/month.

To apply, send your CV and a cover letter explaining your motivation by DM to the poster.

Funding details

3-year PhD position with an Inria PhD salary of approximately 2,300€ gross per month.

What's required

Master’s student in AI, computer vision, or a related field; strong knowledge of machine learning for medical imaging; advanced Python skills; experience with PyTorch and TensorFlow; good scientific writing and communication skills; interest in interdisciplinary research.

How to apply

Send your CV and a cover letter explaining your motivations by direct message to the poster.

More information can be found here

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