Starting from Fall 2019, the Jagiellonian University in Krakow, Poland will host a 4-year interdisciplinary project
Bio-Inspired Artificial Neural Networks
The
broad aim of the project is to put together Neuroscience and Machine
Learning research and gather insight from the brain analyzed over a wide
range of scales in order to develop novel machine learning
architectures and algorithms. The project comprises Machine Learning,
Cognitive and Physics groups and in addition three new groups will be
formed: a low level neuroscience group, a Bio Data Science group and a
more technical computer science group.
We are looking in particular for candidates for a Group Leader of the Bio Data Science group.
The
main aims of the Bio
Data Science group located at the Faculty of Physics is to perform
extensive analyses of massive fMRI data (both in-house and publicly
available), possibly also of other modalities like diffusive MRI or
MEG/EEG. These analyses will be targeted at i) developing machine
learning based diagnostic algorithms, ii) extracting insights from data
on connectivity/dynamical properties of neuronal networks, iii)
comparisons with artificial neural networks.
In addition,
the group is expected to closely cooperate with the Physics group of the
project on testing physics motivated hypothesis and implementing
machine learning architectures. Of course, the group is very
much welcome to pursue also other goals related to the project "Bio-Inspired Artificial Neural Networks".
The
Leader of the Bio Data Science group should therefore have expertise in
machine learning as well as experience/knowledge on dealing
with the specific peculiarities of the fMRI datasets like preprocessing
requirements/artifacts as well as general knowledge about other
modalities.
Best regards,
Romuald Janik