Connectionists: Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST

[Luigi Malagò]

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*Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2
years)
*Institution*: RIST - Romanian Institute of Science and Technology,
Cluj-Napoca
*Keywords*: Geometry of Latent Spaces, Optimization over Manifolds,
Information Geometry, Natural Gradient, Riemannian Geometry
*Application deadline*: 10 October 2018 (applicants are encouraged to apply
earlier)
*Salary*: around 2200 euro net
*Official announcement*:
http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machine-learning.html
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Dear colleagues,

the Romanian Institute of Science and Technology (RIST) has an opening for
a postdoc position, in the context of the DeepRiemann project
“Riemannian Optimization
Methods for Deep Learning”, funded by European structural funds through the
Competitiveness Operational Program (POC 2014-2020). The appointments will
be for 1 year, with possible extensions up to 2 years.

The DeepRiemann project aims at the design and analysis of novel training
algorithms for Neural Networks in Deep Learning, by applying notions of
Riemannian optimization and differential geometry. The task of the training
a Neural Network is studied by employing tools from Optimization over
Manifolds and Information Geometry, by casting the learning process to an
optimization problem defined over a statistical manifold, i.e., a set of
probability distributions. The project is highly interdisciplinary, with
competences spanning from Machine Learning to Optimization, Deep Learning,
Statistics, and Differential Geometry. The objectives of the project are
multiple and include both theoretical and applied research, together with
industrial activities oriented to transfer knowledge, from the institute to
a startup or spin-off of the research group.

The positions will be part of the new Machine Learning and Optimization
group https://rist.ro/en/teams.html, which performs research at the
intersection of Machine Learning, Stochastic Optimization, Deep Learning,
and Optimization over Manifolds, using geometric methods based on
Information Geometry. The group is one of two newly-formed groups in
Machine Learning at RIST.

The official job announcement can be seen here:
http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machine-learning.html

Informal inquiries can be sent to Dr. Luigi Malagò <malago at rist.ro>,
principal investigator of the DeepRiemann project.

Application deadline: 10 October 2018 (applicants are encouraged to apply
earlier)

best regards,
Luigi Malagò
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