Publisher
source

Radboud University Medical Center

Just Landed

PhD Candidate: AI-Driven Handheld Ultrasound for Military Trauma Care Radboud University Medical Center in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term PhD contract for 4 years with salary indication of €3217—€4077 per month, plus 8% holiday allowance, 8.3% end-of-year bonus, travel reimbursement, public transport reimbursement, and home-working allowance.

Deadline

Nov 23, 2026

Country flag

Country

Netherlands

University

Radboud University Medical Center

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Artificial Intelligence
Medical Technology
Medical Science
Ultrasound Technology
Clinical Translation

Suggested positions

Publisher
source

Université Côte d'Azur

Country flag

France

PhD opportunity in AI and medical ultrasound focused on SynthUS, a project developing robust ultrasound foundation models through differentiable domain randomisation. The research addresses the substantial variability of real-world medical ultrasound images, which presents a major challenge for AI-based analysis. The project will combine physics-based image simulation, generative AI, and differentiable learning to create models that generalise across imaging domains. The PhD researcher will inve...

Computer Science
Biomedical Engineering
Medical Imaging
+5 more

New Today

Publisher
source

Bryan Ranger

Boston College

Country flag

United States

Boston College is recruiting a Postdoctoral Research Fellow in AI for Medical Ultrasound Image Analysis for a new NIH R01 project focused on ultrasound-based body composition assessment . The position sits in the Boston College Computer Science Department and will be co-mentored by Bryan Ranger and Prof. Yuan Yuan , with close collaboration from clinical partners. The project is a strong fit for candidates with experience in deep learning and medical image analysis , especially those interested ...

Computer Science
Biomedical Engineering
Electrical Engineering
+5 more

2 weeks ago

Publisher
source

Weill Cornell Medicine

Country flag

United States

Weill Cornell Medicine is recruiting a Postdoctoral Fellow in AI for Cardiovascular Imaging in the Department of Radiology , supervised by Dr. Gregory Holste in the Holste Lab. The position focuses on building clinically translatable AI for echocardiography interpretation , with research directions including foundation models for echocardiography , multimodal learning across cardiac ultrasound, CT, MRI, ECG, EHR, and reports, and rigorous validation for clinical use. The role is highly interdisc...

Computer Science
Biomedical Engineering
Electrical Engineering
+10 more

3 weeks ago

Publisher
source

Inria

Country flag

France

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 ai...

Computer Science
Biomedical Engineering
Electrical Engineering
+7 more

1 month ago

Publisher
source

Eindhoven University of Technology

Country flag

Netherlands

PhD opening at Eindhoven University of Technology (TU/e) in the Department of Biomedical Engineering / Medical Image Analysis group. The project is titled Physics-informed generative AI for dynamic cardiac MRI and is part of PRIMA-CMR, a EuroTech Universities Alliance collaboration between TU/e and the Technical University of Munich (TUM). The research aims to make cardiac MRI safer and more accessible by reducing reliance on gadolinium-based contrast agents while preserving diagnostic quality. ...

Computer Science
Biomedical Engineering
Electrical Engineering
+9 more

2 weeks ago

About this position

PhD research at Radboudumc will focus on AI-driven handheld ultrasound for military trauma care. The project asks how artificial intelligence can make portable ultrasound more accessible and effective in challenging operational settings, where medical resources, specialist expertise, and evacuation options may be limited.

You will work on the development and evaluation of AI methods for medical imaging, with a particular emphasis on ultrasound-based rapid diagnostics. A key starting point is EFAST, the trauma ultrasound protocol used to detect internal bleeding, pneumothorax, and other potentially life-threatening injuries, but the project also leaves room to explore additional ultrasound applications in military healthcare.

The research is not limited to algorithm development. You will also study how AI-supported ultrasound tools can be integrated into real military medical practice, taking into account the needs and capabilities of healthcare providers and the constraints of operational environments. The overall aim is to strengthen point-of-care trauma diagnostics, with potential relevance beyond the military context as well.

You will be based in the Department of Medical Imaging at Radboudumc and work within the Medical Ultrasound Imaging Center (MUSIC). MUSIC develops, optimizes, and clinically evaluates new ultrasound imaging methods, with a strong focus on AI-driven handheld ultrasound and close collaboration with equipment vendors, radiologists, engineers, and medical doctors. The group combines expertise in image reconstruction, processing, deep learning, analysis, and patient-trial design.

The project is carried out in collaboration with the Civil-Military Centre of Expertise for Trauma Care (CETC), a partnership between the Netherlands Armed Forces and UMC Utrecht. Through this collaboration, you will also interact with researchers and clinical experts connected to the Ministry of Defense, linking academic imaging research with practical military healthcare needs.

Radboudumc describes itself as a leading academic medical center in Nijmegen with a strong research environment across care, education, and scientific innovation.

Funding details

Fixed-term PhD contract for 4 years with salary indication of €3217—€4077 per month, plus 8% holiday allowance, 8.3% end-of-year bonus, travel reimbursement, public transport reimbursement, and home-working allowance.

What's required

Applicants should be analytical, curious, enthusiastic, and able to conduct independent scientific research. A Master's degree in Artificial Intelligence, Computer Science, Biomedical Engineering, Technical Medicine, or a related field is required. Experience with deep learning and programming in Python or a comparable language is required. Applicants should have affinity with medical ultrasound imaging and image analysis, strong communication skills, and excellent spoken and written English. Interest in military healthcare is expected, and previous experience with the Netherlands Armed Forces is considered an advantage.

How to apply

Apply through the AcademicTransfer application link before the deadline. Prepare your application in line with the vacancy and ensure you meet the eligibility and profile requirements. The first interviews are planned for early December.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.