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Richard G.P. Lopata

3 months ago

Postdoc in Computational and Multi-Aperture Ultrasound Imaging Eindhoven University of Technology in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Sep 14, 2026

Country flag

Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Electrical Engineering
Medical Imaging
Medical Science
Ultrasound Technology
Image Reconstruction
High Performance Computing
Beamforming
Clinical Translation
Computational Imaging
Physics

About this position

Postdoc in Computational and Multi-Aperture Ultrasound Imaging at Eindhoven University of Technology (TU/e) in the Netherlands.

This postdoctoral position sits in the Department of Biomedical Engineering, where engineering and life sciences are combined to address major healthcare challenges. The project is part of the recently funded VICI programme (R)evolution in Abdominal Ultrasound Imaging, which aims to transform abdominal ultrasound through distributed multi-aperture sensing, advanced image formation, and functional imaging methods.

The successful candidate will work at the intersection of ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. The role is intended as a technological integrator across several research tracks, with close collaboration with three PhD candidates and industrial partner Philips Healthcare.

Core research tasks include developing methods for multi-aperture ultrasound acquisition, ultrasound-based probe localisation, adaptive imaging strategies, and image reconstruction. The postdoc will help combine multiple distributed transducers into a coherent imaging platform and support the integration of hardware, acquisition, and reconstruction frameworks.

This is an excellent opportunity for a researcher with a strong background in biomedical engineering, electrical engineering, applied physics, computer science, or medical imaging to build an international profile in advanced ultrasound imaging and contribute to clinically relevant diagnostic technology.

Eligibility highlights: PhD degree required; strong experience in ultrasound imaging and related computational methods; excellent programming skills in Python, MATLAB, or C++; track record of high-quality publications; strong communication and project-management skills; English proficiency; and willingness to coach PhD and Master's students in an interdisciplinary environment.

Funding and conditions: full-time appointment for 2 years, salary in scale 10 of the Dutch Universities collective labour agreement, with a gross monthly salary of €4,422 to €5,760, plus a year-end bonus and vacation allowance.

Application window: published 2026-07-14; deadline 2026-09-14; applications are reviewed continuously until the position is filled.

Funding details

Available

What's required

Applicants must hold a PhD degree in Biomedical Engineering, Electrical Engineering, Applied Physics, Computer Science, Medical Imaging, or a related field. Strong expertise is required in ultrasound imaging, signal processing, computational imaging, medical image reconstruction, beamforming, inverse problems, machine learning, or related methods. Experience with ultrasound acquisition systems such as Verasonics, transducer arrays, beamforming, and ultrasound physics is expected. Candidates should have excellent programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record with high-quality publications is required, along with the ability to independently initiate, conduct, and deliver high-quality academic research. Strong communication, leadership, and project-management skills are needed, as well as excellent written and verbal English and a collaborative mindset for coaching PhD and Master's students in an interdisciplinary team.

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Professors

prof. dr. ir.

University Name
Country flag

Netherlands

Research Interests

Medical Imaging

Medical Science

Beamforming

Computer Science

Signal Processing