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The RWTH Aachen University Hospital combines medical care, teaching and research at an international standard. The University Clinic covers the entire spectrum of medicine, with 37 specialist clinics, 35 institutes and six interdisciplinary units. Integrating health care, research and teaching in one central building, this hospital provides optimal conditions for intensive interdisciplinary exchange and collaboration, as well as for clinical and scientific networking. Outstandingly well-qualified teams of doctors, nurses and scientists competently care for the health of patients. Patient-centered medicine and follow-up care at high quality standards is ensured by the approximately 9,000 staff. With 1,400 beds, the University Clinic cares for around 50,000 inpatient and 200,000 outpatient cases per year.
The Institute of Pathology / LaBooratory of Nephropathology/AG Boor & AG Bülow open a new position for a

REMUNERATION/RATES: EG 13 (TV-L)

Our research group pioneers innovative methods in digital pathology, advanced image analysis, and deep learning. We focus on several key areas, including advanced image segmentation, next-generation morphometry, pathomics data analysis, sustainable AI (green and energy-efficient solutions), as well as secure and explainable AI. Our ultimate aim is to advance patients’ pathology diagnostics

• We are seeking a talented scientist (PhD student or postdoctoral researcher) who is eager to make significant contributions to these exciting research domains.
• Join our interdisciplinary and international team of dynamic AI researchers, biologists, and clinician scientists, embedded directly within the Institute of Pathology. We collaborate on cutting-edge medical applications that have the potential to transform patient care
• Our state-of-the-art hardware infrastructure includes multiple GPU clusters (NVIDIA DGX A100) and CPU clusters. Additionally, we offer access to a large and continuously expanding collection of preclinical datasets as well as large multi-center patient cohorts
• If you are passionate about advancing the field of digital pathology through innovative research and collaboration

DESCRIPTION AND ESSENTIAL CRITERIA

• Development, optimization, application, and clinical validation of deep learning algorithms in digital pathology
• Optimization of models and analyses for sustainability and safety
• Expanding our knowledge of pathology through applications of explainability and interpretability
• techniques, as well as extensive feature analysis
• Evaluation, presentation (visualization), and interpretation of results
• Independent review of the literature
• Data management

Please refer the Job description for details