Informationen zum Job Weitere Informationen The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term initially to three years. The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts). This is a full-time position. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. Unser Profil In the Institute of Imaging and Computer Vision, we research and explore the physical limits of current and future medical imaging technologies, amongst other imaging areas. Our research areas range from simulations of new imaging concepts, hardware prototypes, high-speed data processing, image reconstruction algorithms, and applications using our research imaging prototypes. In doing this, we bring together students and researchers from different disciplines: physics, engineering, computer science, and medicine. We are a group with a large international network and close links to industry and RWTH spin-offs. Low-Field Magnetic Resonance Imaging (LFMRI) and Magnetic Particle Imaging (MPI) are two complementary Magnetic Imaging Technologies with significant biomedical potential. LFMRI offers cost-effective, portable imaging solutions with improved accessibility, while MPI utilizes the non-linear magnetization of superparamagnetic nanoparticles to achieve real-time, high-speed imaging. Despite their different principles, both modalities share a key challenge: limited sensitivity, which has a direct impact on spatial resolution, signal quality and therefore diagnostic accuracy. Overcoming this limitation demands bold innovation and creative problem-solving at the intersection of physics, engineering, and artificial intelligence. Pushing the limits of sensitivity requires revolutionary hardware designs, such as novel coil architectures, adaptive gradient systems, and unconventional resonant circuits. At the same time, cutting-edge signal processing techniques, including AI-driven reconstructions, intelligent multi-channel acquisition, and advanced noise suppression, must be explored and reimagined. Why Join Us: Research opportunities in cutting-edge magnetic imaging technologies. Access to advanced MPI and LFMRI imaging systems. A collaborative research environment with leading scientists. The chance to contribute to next-generation medical imaging solutions website. Ihr Profil Very good Master's degree or equivalent in Electrical Engineering, Technical Computer Science, Physics, or a related area. Passion for advancing magnetic medical imaging technologies. Background in hardware design, signal processing, or magnetic systems. Programming skills (Python, C++/C#) beneficial. Strong interest in interdisciplinary collaboration. Ihre Aufgaben Develop and optimize hardware components to maximize signal sensitivity. Investigate multi-channel and resonance-based techniques for improved imaging. Implement AI-driven signal enhancement strategies. Collaborate in an interdisciplinary research environment. Über uns RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung. Besoldung / Entgelt EG 13 TV-L