Volkmar Schulz
Top university
2 months ago
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PhD and Postdoc Positions in Low-Field MRI, Medical Imaging, and AI at RWTH Aachen University RWTH Aachen University in Germany
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Fully funded PhD and Postdoc positions are advertised.
Country
Germany
University
RWTH Aachen University
Suggested positions
Keywords
About this position
RWTH Aachen University’s Chair of Imaging and Computer Vision is recruiting for fully funded PhD and Postdoc positions in low-field MRI, medical imaging, and AI-enabled reconstruction. The group is developing the next generation of point-of-care MRI systems that are lighter, lower-cost, and more portable than traditional high-field scanners.
Open topics include System Design (magnet, mechanical, and thermal concept engineering for portable systems), Electronic Systems Development (low-noise RF hardware, electronic subsystems, electromagnetic compatibility), MR Physics & Reconstruction (pulse sequences and physics-informed AI for rapid, high-contrast imaging), Advanced Low-Field MRI (hardware architectures and signal processing for improved SNR), and Sequence & AI Innovation (physics-driven deep learning, sequence design, and automated artifact reduction).
The position is located in Aachen, Germany, within an interdisciplinary environment combining hardware and AI research. The post is aimed at outstanding researchers with interests in Biomedical Engineering, Medical Science, Electrical Engineering, Physics, and Computer Science.
Applicants should review the detailed job specifications and application instructions in the linked posting. The announcement does not mention a deadline in the text provided.
Funding details
Fully funded PhD and Postdoc positions are advertised.
What's required
Outstanding researchers are sought for fully funded PhD and Postdoc positions. The PhD roles focus on system design, electronic systems development, or MR physics and reconstruction; the postdoc roles focus on advanced low-field MRI or sequence and AI innovation. Relevant backgrounds include magnet/mechanical/thermal engineering, RF hardware, electronics, electromagnetic compatibility, MR physics, signal processing, physics-informed AI, deep learning, and sequence design.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Prof. Dr.-Ing.
Germany
Research Interests
Medical Imaging
Hardware Engineering
Pet Imaging
Photodetector Technology
Scintillation Physics
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.