Publisher
source

Cian Scannell

Just Landed

New Today

PhD in Physics-informed Generative AI for Dynamic Cardiac MRI Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term PhD employment for 4 years with salary scale P: €3,204–€4,051 gross base salary per month (full-time), plus 8% holiday allowance and 8.3% year-end bonus.

Deadline

Nov 21, 2026

Country flag

Country

Netherlands

University

Eindhoven University of Technology

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Uncertainty Analysis
Medical Science
Inverse Problem
Cardiac Magnetic Resonance
Physics

Suggested positions

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

Publisher
source

Radboud University Medical Center

Country flag

Netherlands

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 EFA...

Computer Science
Biomedical Engineering
Electrical Engineering
+7 more

2 days 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

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

Delft University of Technology

Country flag

Netherlands

Fully funded PhD position in Quantum Control at Delft University of Technology in the Netherlands . This opening is focused on quantum control , a research area at the intersection of physics , electrical engineering , and computational methods. The post does not list detailed eligibility criteria in the text, but it directs applicants to the official vacancy for the required qualifications and application documents. Funding: The position is described as fully funded . Requirements: Please consu...

Computer Science
Electrical Engineering
Physics

2 weeks ago

About this position

PRIMA-CMR is a collaborative EuroTech Universities Alliance project between Eindhoven University of Technology and the Technical University of Munich, focused on making cardiac MRI safer by enabling much lower use of gadolinium-based contrast agents. The PhD project sits in the Medical Image Analysis group in the Department of Biomedical Engineering at TU/e and centers on trustworthy generative AI for dynamic cardiac MRI.

The successful candidate will develop new methods that recover diagnostic information from low-dose cardiac MRI while addressing the key challenge that current AI can produce realistic-looking images without guaranteeing that the output is clinically reliable. The project combines MR imaging physics, patient-specific clinical information, deep generative modeling, and uncertainty quantification to build models that can indicate when they are unsure. The methods will be validated on real clinical data together with clinical partners, with the broader aim of supporting safer imaging and more confident diagnosis.

The PhD is based at TU/e, with a planned six-month research stay at TUM in Munich in the group of Prof. Julia Schnabel, and the student will also interact with international clinical and academic partners across Europe. Supervision at TU/e is by Dr Cian Scannell, with co-supervision by Prof. Julia Schnabel.

The research environment is interdisciplinary and international, bringing together medical imaging, AI, and clinical collaboration within TU/e’s biomedical engineering setting.

Funding details

Fixed-term PhD employment for 4 years with salary scale P: €3,204–€4,051 gross base salary per month (full-time), plus 8% holiday allowance and 8.3% year-end bonus.

What's required

A master’s degree or equivalent university degree in Biomedical Engineering, Computer Science, Electrical Engineering, Applied Physics, Applied Mathematics, or a related field is required. Applicants should have a background in deep learning and an interest in generative models; knowledge of MRI physics, physics-based modeling, or inverse problems is a plus. Proficiency in Python and a deep learning framework such as PyTorch is required. Candidates should have a research-oriented attitude, analytical thinking, and problem-solving skills, be able to work in an international interdisciplinary team, and be willing to spend six months at TUM in Munich. A strong interest in medical imaging and cardiovascular disease is expected, along with motivation to develop teaching skills and coach students. Fluent spoken and written English at C1 level is required.

How to apply

Apply through the AcademicTransfer application link. For questions about the position, contact Cian Scannell at [email protected] or [email protected]. Review the application process information on the TU/e website before submitting.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Assistant Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Medical Imaging

Inverse Problem

Deep Learning

Physics

Biomedical Engineering

Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Medical Imaging

Cardiac Magnetic Resonance

Computer Science

Electrical Engineering

Inverse Problem