Close interdisciplinary cooperation with the clinical and scientific MRT department and research partners within and outside the university Technical implementation, adaptation and integration of AI-based planning software solutions into clinical MRT workflows Conception, implementation and documentation of validation studies on performance, robustness, reproducibility and clinical applicability of AI tools Ensuring quality assurance, documentation and compliance with relevant regulatory and data protection requirements Optimization of clinical workflows as well as training and incorporation of radiologists and MTRA into the new AI-based planning processes Data management, processing and analysis in the context of AI validation and clinical routine suitability Scientific support for the project: documentation, reporting, participation in publications and conferences Active participation in the interface coordination between industrial AI development and clinical practice (“Translation into Routine”)

Completed scientific study of physics, medical physics, biomedical technology or equivalent qualification Expertise in the field of MRT physics / imaging Experience in dealing with MRT systems and a strong interest in clinical processes in radiology Experience in the implementation, validation or clinical introduction of AI/ML methods in the medical context (pure AI development does not necessarily require knowledge of advantage) Experience in the application of statistical methods for carrying out studies Knowledge of programming (MatLab/Python, C/C++ or other) desirable Impressed communication strength and experience in interdisciplinary cooperation Structured, independent functioning as well as motivation to safely, document and sustainably translate AI innovations into clinical routine

Responsive and versatile: a workplace with a large design space in a collegial team Payment by TV-L: (EG13), Tariff remuneration incl. Special payment Flexible for families: Possibility of a place in the children's daycare and offers for parental leavers Clever to work: Good connection to the SWB network Supported training: Individual development opportunities through courses, e-learning and coaching Start with system: Structured onboarding Healthy at work: Numerous offers of health promotion, free membership in the UKB gym Benefits: Benefits for employees (Corporate Benefits) We are committed to diversity and equal opportunities. Our aim is to increase the proportion of women in areas where women are underrepresented and to promote their careers in particular. We therefore strongly urge qualified women to apply. Applications are treated in accordance with the National Equality Act. The application of suitable people with proven severe disability and persons with equal status is particularly welcome. .