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The German Center for Neurodegenerative Diseases (DZNE) is a world-
leading internationally oriented research center, committed to
discovering new approaches to prevent and treat neurodegenerative
diseases. To this end, researchers at ten DZNE sites across Germany
pursue a translational and interdisciplinary strategy comprising five
interconnected areas: fundamental research, clinical research, health
care research, population health science, and systems medicine. 

We are looking for a postdoctoral researcher in Medical Image Computing
to join the research group of Prof. Martin Reuter (DeepMI Lab) at the
German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany.

The research focus of the DeepMI lab 
(https://secure-web.cisco.com/1MThzC1peUCNro2lFQjLKa18yzb6Hpg-Si0c_KIJ2lS10sT_UulZFjUkx7wh_hwbRctm1lFHHpx8ImjeAMGm-JQez6gtCAJ0m80cwJOPjraHQJFitfuT5NZvdZJpRPXlp7zq-LmviV7DRJye7XGtMvc0vM0vjH1zwIDBMIx0ivFBr8cGpKCH3Z-1fCe3cOp12mfp7SOsNKJZOnCCu5yzBfHXtIShOfCCvA9ELlk_rbTPnikISXhN5xITmvGQf6G9i_xD1iSf_Kf2uXH7Qd2B4NNbx0AfVxYeHLuKj-e3dVBttuN0ropRaZbdrpBcJmKTxm_GflG1l9po1HjSU2A3i9Q/https%3A%2F%2Fdeep-mi.org)
 is on the
development of novel AI methods for the automated analysis of medical
images, and on providing accessible and useful open-source software
tools for the medical imaging community. In addition to medical image
computing and computational neuroimaging, our research interests
include computational geometry and topology, computer vision, and
statistical modeling. In close collaboration with clinical and
industrial partners, we develop the next-generation computational
techniques and open-source software tools 
(https://secure-web.cisco.com/1x5I_D6HZMoyenb6ROM07HEyfo1-6i4RLvoIUTkcQNenQoqyLTs3KQsep59yWxzJzy9lr7fBEZ0ObOLZmMOKeyE-vSeXO0-bNCmmYG4_TO5Wu0uwHaxGV4R7S7h-MYmY-Y2kSszQbEQxo_Z9qjkfjCHt6nEbLby755ef7RSYhv_aQVpeuLysCyFuhnHoeTG_9uz2qbrI8Gbv9J7grB0RZtN8QcoBWi5oCVVIDhw-9EZFNjFrFCoz-ogWI8VkHnmSbLRzG4XNh5G3oljX1aWFQ2Lb9mDr0p0QbwZjupNukpY7jDnwWU8l8BuQHqF94voijv6QZAEwVQWDkoyklf6WU9Q/https%3A%2F%2Fgithub.com%2FDeep-MI)
for the analysis of large biomedical image datasets – such as
FastSurfer 
(https://secure-web.cisco.com/18DvIli8JaO37YJWJOJ3qq1WWQmz42f76xdZHIj0fW_8UF1ZhHM3FCQHvGsFzibZhx60zsN95b_ICRMtHDtGuVjQ8pkwV74_pkfsSJIVMJf8m5AgcF8iJ2YRtva41ck9gnusHtBxJYJKO3zteH0Qx769PgsKA-HyJ8c0xLUglszc5E-o9k7cZFK4rcZPp_V70fv2fj-KzaBS8n3Om5jeb01OquqjMuYo9UsoPJ7oF-35v1ZcOiB90G5IPBWHT4wwu4LPCOtIUn7mwkZ_jmqrVXIpJQJw8lO1wipEjHRWP3xrA0KcrgLFF65Y50mjKrfQaou87XzmU_zTctTjIah-EdQ/https%3A%2F%2Fdeep-mi.org%2Fresearch%2Ffastsurfer),
 a fast and
extensively validated deep-learning pipeline for the automated
processing of structural human brain MRIs that is used by neuroimaging
researchers worldwide. Our network within DZNE and the University
Clinic Bonn, as well as our close ties to the Harvard Medical School
promote our interdisciplinary research and foster deep international
collaborations.

Creative, highly motivated applicants who are willing to develop novel
deep learning image analysis methods and enjoy teamwork and working
independently in a stimulating scientific environment are encouraged to
apply.

Requirements:

- PhD degree in Computer Science or a related discipline; candidates
who are expected to complete their PhD degree soon will also be
considered.
- Solid background in Machine Learning / Deep Learning and strong
computational skills.
- Programming experience (Python) and familiarity with Machine Learning
Frameworks (e.g., PyTorch, Tensorflow).
- Experience in magnetic resonance imaging, medical image analysis,
and/or computer vision is an advantage.
 
To apply, please upload your application including a cover letter
stating your motivation and research interests, CV, relevant
transcripts and up to two references via the following link:
https://secure-web.cisco.com/1T2gF-0AOy7jeB4jbnIw5lbkhOm3NWFidBlXUXn7AZpaMDH_fS7CzlvRQxuuZ05YzHRPuCAtPV8Ydm-l85RExgTK1OmWHOtFs2pNeE-SswN0KM5oAdsNc9O9NUKpbo-iKb6kBNp5Wvj0aPCIobzIUD0wbK_oR0URE3aIDbFkGIiacAA0dAAyxuN51vorLjMT23s8unD7Vj6-LieIZrrGwhR4fE5vUQ8EFHjCpb7LdDp8SZvhot5fSp0a_PLyUIb4eejNY4jJwwA81sxZJVFVv7jX2zRjt_x-ckujKkMtRPXKFgcZc2YJSGo7bHMsZhHgAoBbl4_PD72k77FPQqYaWEA/https%3A%2F%2Fjobs.dzne.de%2Fen%2Fjobs%2F101264

The application deadline is January 30, 2024. Review of applications
will begin immediately and continue until the position is filled.

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