Applications are invited for a postdoctoral position in
*** Unsupervised Deep Learning ***
in a project lead by Aapo Hyvarinen at the University of Helsinki.
The project is broadly defined, and includes cutting-edge frameworks
such as nonlinear ICA, energy-based modelling, and causal discovery.
Examples of our recent work include:
https://arxiv.org/abs/1907.04809
https://arxiv.org/abs/2002.11537
https://arxiv.org/abs/1904.09096
However, the scope of the project is flexible and depends on the
interests of the candidate. The project may also involve a strong
component of analysing data from brain imaging experiments (fMRI, EEG or
MEG). The post-doc is part of the new European-wide ELLIS framework, of
which Helsinki is one site.
Applications from candidates with a PhD degree in computer science,
statistics, or similar, are welcome. Candidates who are likely to obtain
a PhD degree in the next few months can also apply. The starting date
and the duration are flexible.
For more details, see
https://www.helsinki.fi/en/open-positions/postdoctoral-researcher-in-unsupervised-deep-learning
Aapo Hyvarinen
