[Neuroinfo] Postdoctoral Position in Computational Neuroimaging

[Martin Reuter]

Hi all, 

I wish everyone a successful new year 2017! Please pass along this job offer for a postdoc position in my group in Bonn, Germany, to anyone interested and feel free to contact me with any questions.

Thanks, Martin Reuter

Details:
https://www.dzne.de/jobs-karriere/job/postdoc-fm-in-computational-neuroimaging-code-1427201612.html <https://www.dzne.de/jobs-karriere/job/postdoc-fm-in-computational-neuroimaging-code-1427201612.html>  

The German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany is looking for a 
Postdoc (f/m) in Computational Neuroimaging – Code 1427/2016/12
to join the research group of Prof. Martin Reuter.
Research projects will focus on developing image analysis, geometry processing and machine learning methods for the automatic analysis of multi-modal human MRI data, primarily with the aim to extract imaging biomarkers that can be leveraged to both understand or diagnose neurodegenerative disease and to provide a rational framework for targeting and monitoring therapy. Prof. Martin Reuter, has recently joined the DZNE and simultaneously holds a faculty position at the Martinos Center, MGH, Harvard Medical School, Boston, USA with an affiliation at the Massachusetts Institute of Technology CSAIL. He is the principal developer of the longitudinal processing framework of the software package FreeSurfer, providing a suite of tools for the automated analysis of brain MRI data to a world-wide user base. He and his team have, furthermore, introduced novel approaches for neuroanatomical shape analysis and computer-aided diagnosis and prognosis of neurodegenerative disease.
Your profile:
We seek a postdoctoral candidate with a Ph.D. in computer science, engineering or mathematics with interest in image and geometry processing and with solid programming skills in C/C++, Python, Matlab, R, shell scripting, GPU (parallelization). The ideal candidate would have knowledge in computational neuroimaging or biomedical engineering and considerable expertise in methodological development of quantitative MRI analysis, e.g. registration, segmentation, Bayesian modeling. Experience with big data analysis, cloud computing and machine learning is an asset. Knowledge of state-of-the-art data analyses techniques and neuroimaging software, including FreeSurfer, ANTS, FSL is also appreciated. Highly motivated individuals with a record of productive research are encouraged to apply. The working language is English.
We offer:
Integration into the computational imaging environment at DZNE and interdisciplinary interactions with other institutes in Bonn and abroad (e.g. Harvard Medical School).
Recently opened DZNE Research Facilities at Bonn Venusberg, hosting a state of the art neuroimaging center with 7T and 3T MRI scanners, as well as computational infrastructure supported by experienced IT specialists and physicists.
A rich set of high-quality MR data and applied research questions through collaboration with the Rhineland Study, a prospective deeply phenotyped longitudinal cohort study with up to 30.000 participants.  
A strong mentoring program for career development is provided.
An international environment characterized by a strong focus on science and research.
Bonn, located at the Rhine river in proximity to the Cologne metropolitan area, has a very high quality of life, with an international student, research and business community.
The position is initially available for 2 years.
Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst – TVöD Bund).  
The DZNE is an equal opportunity employer and especially welcomes and encourages disabled individuals to apply. You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE.
Interested candidates should send their full application documents in a single PDF with subject CODE 1427/2016/12 via email to application(at)dzne.de <http://dzne.de/> .
Please include a CV, contact information of two referees, a brief statement describing your personal qualifications and future research interests (up to 1 page), and a list of publications highlighting up to three most important ones. 
Informal enquiries may be directed to Martin Reuter  (martin.reuter(at) <>dzne.de <http://dzne.de/>). Information about previous activities of the group can be found at http://reuter.mit.edu <http://reuter.mit.edu/> 

Please apply by January 25, 2017
Happy new year.
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