Hamburg University of Technology (TUHH) and University Medical Center Hamburg-Eppendorf (UKE) have recently established the Interdisciplinary Competence Center for Interface Research (ICCIR). Within the interdisciplinary center, the Institute of Medical Technology and Intelligent Systems at TUHH will be responsible for developing artificial intelligence methods.
Our research covers AI methods ranging from medical robotics and treatment planning to machine learning (ML) for signal and image processing. Within the ICCIR we are particularly interested in methods for fast spatio-temporal imaging, e.g., 4D ultrasound (US) or 4D optical coherence tomography (OCT). We will collaborate with partners from various institutes and clinics with a focus on identifying tissue properties at interfaces. Examples would include tumor-tissue boundaries, different tissue layers, or interfaces between implants and instruments and soft tissue.
We have funding for a full time position at pay scale E14 (app. 50K EUR p.a.) for 36 months. The successful candidate holds a PhD in computer science or related fields, has an excellent academic track record, and is interested in pursuing an academic career. As a post-doctoral researcher you will be responsible for - developing ML methods, particularly CNN/RRN approaches for processing fast, volumetric image data - integrating ML with the (GPU based) signal processing systems - initiating new research projects with partners, particularly clinicians - co-supervising PhD students from computer science and biomedical engineering - contributing to grant applications Requirements - extensive knowledge of current ML methods is important; experience with methods from robotics and / or optimization would be a strong plus - understanding of image and signal processing; experience with biomedical imaging and particularly US and OCT would be desirable - very good practical programming skills (C++, Python, CUDA) - proven track record of excellent publications - excellent English language skills - project management experience would be a plus Please, send your complete application including transcripts and a list of publications through our online application system https://stellenportal.tuhh.de/en/jobposting/ce4286c1ce0e3052a7d58eb54e1352a88b52ed1a0/apply The application deadline is September 10th, 2020. Please, do not hesitate to contact Alexander Schlaefer (schlae...@tuhh.de) with questions regarding the position. -- Alexander Schlaefer Institute of Medical Technology and Intelligent Systems Hamburg University of Technology +49 (0) 40 42878 3050 www.tuhh.de/mtec _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
