[ml_ned] PhD scholarship "Deep learning in clinical neuroimaging"

Paul Zhutovsky paul.zhutovsky at gmail.com
Wed Jul 19 12:54:59 CEST 2017


Deep Learning in clinical neuroimaging

PhD scholarship (starting October 2017, initially for 2 years)

At the Berlin Center for Advanced Neuroimaging and Bernstein Center for
Computational Neuroscience (Charité), we are looking for a motivated and
highly talented PhD student for various research questions within the
interdisciplinary field of deep learning and clinical neuroimaging. In
particular, we employ convolutional neural networks for finding new
representations from neuroimaging data in order to predict disease
conversion and future clinical disability in neurological as well as
psychiatric diseases. Whereas previous disease decoding approaches mostly
relied on expert-based extraction of features in combination with standard
classification algorithms and thus strongly depend on the choice of data
representation, convolutional networks are capable of learning hierarchical
information directly from raw imaging data. By this, they have a great
potential for finding unexpected and latent data characteristics and might
perform as a real “second reader”. A major focus will be on visualization
techniques to make the learned content of convolutional neural networks
visible.

Requirements for the PhD student:
- Very good degree in computer science, mathematics, physics, psychology,
computational neuroscience or related subject.
- Very good programming skills (e.g. Python)
- Experience in machine learning
- Good writing and communication skills (in English)

Please send your application (motivation+CV) in one pdf-file (in English or
German) to:

Dr. Kerstin Ritter
Berlin Center for Advanced Neuroimaging,
Bernstein-Zentrum für Computational Neuroscience
Charité - Universitätsmedizin Berlin
Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin
Tel.: + 49 30 450 539364; Email: kerstin.ritter at bccn-berlin.de
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