Position:	PhD candidate (f/m/d) Artificial Intelligence and Medical Imaging
Institution:	Universitätsklinikum Hamburg-Eppendorf
Location:	Hamburg, Germany
Duties:	Development of machine learning methods (esp. deep learning approaches) for the optimization and analysis (esp. segmentation, radiomics) of MRI image data; Development of AI-based models for image-based prediction of the growth and transformation of nerve sheath tumors
Requirements:	Master’s degree in medical informatics, computer science, medical technology or related fields; Strong interest in scientific questions in the fields of artificial intelligence and medical imaging and processing; Good programming skills as well as experience in the areas of image processing and machine learning are an advantage
Text:	PhD candidate (f/m/d) Artificial Intelligence and Medical Imaging Part-time (65 %) - Three years | Location: Hamburg-Eppendorf | Center of Experimental Medicine - Institute of Computational Neuroscience Your Position The UKE Your Perspective Your Application At the UKE, we are convinced that successful and fulfilling work should be harmonised with the personal needs and individual life plans of all employees. Together we can make this possible. Every day a little more. Every day a little better. What to expect > The Institute of Computational Neuroscience (ICNS) is a dynamic and research-oriented UKE institute, active in both basic and applied clinical research. Our international and diverse team of about 20 colleagues is looking forward to your support and collaboration. For more information, please visit www.uke.de/icns. In the working group "Image Processing and Medical Imaging" (IPMI) of ICNS, we develop AI methods and solutions to support image-based medical diagnosis and therapy. The position is placed in a collaborative project with the UKE Clinic for Diagnostic and Interventional Radiology and Nuclear Medicine and is part of the DFG priority program Radiomics. The aim of the project is the development of MRI-based biomarkers to predict the development of nerve sheath tumors using current machine learning approaches. We are looking for a highly motivated PhD student. This position is to be filled as soon as possible and with 65 percent of the weekly working time for a limited period of three years with a possibility of extension. Your activities and responsibilities: Development of machine learning methods (esp. deep learning approaches) for the optimization and analysis (esp. segmentation, radiomics) of MRI image data Development of AI-based models for image-based prediction of the growth and transformation of nerve sheath tumors What we look forward to > Master’s degree in medical informatics, computer science, medical technology or related fields Strong interest in scientific questions in the fields of artificial intelligence and medical imaging and processing Good programming skills as well as experience in the areas of image processing and machine learning are an advantage What we can offer > Regular pay according to TVöD/VKA; attractive company pension plan and various employee discounts 30 days of vacation; possibility of special leave Central location: Our clinic is centrally located at the beautiful Eppendorfer Park Sustainable travel: subsidies for the HVV-ProfiTicket and Dr. Bike bicycle service; option to lease a service bike Crisis-proof workplace, meaningful activity, appreciative interaction and open exchange of knowledge within the team; structured induction training Opportunity to actively shape and develop the working environment within the framework of our employee program (UKE INside). Family-friendly working environment: cooperation on childcare, free vacation care, advice for employees with relatives in need of care Excellent health, prevention and sports offers Healthy and varied lunch break: In addition to our canteen, there is a rich selection of culinary offerings just a few steps away, for example the "Health Kitchen" cafés and bistros, as well as other snack bars, bakers, a supermarket, etc.

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