Connectionists: ERC Grant: Jobs for PostDocs & PhD Students at the Swiss AI Lab, IDSIA

[Schmidhuber Juergen]

In 2017 and 2018, we intend to hire numerous PhD students and postdocs on the ERC Advanced Grant "Recurrent Neural Networks and Related Machines That Learn Algorithms” and other grants. 

Blurb: Recurrent neural networks (RNNs) are general parallel-sequential computers. Some learn their programs or weights. Our LSTM was the first RNN to win machine learning contests, and is now available to billions of users through the world's most valuable public companies, e.g., for speech recognition on over 2 billion smartphones, language translation, etc. Nevertheless, in lots of real-world tasks RNNs do not yet live up to their full potential. Although universal in theory, in practice they fail to learn certain important types of algorithms. This ERC project will go beyond today's best RNNs through novel RNN-like systems that address some of the biggest open RNN problems and hottest RNN research topics including attention & fast weights, RNN-based reinforcement learning, optimal transfer learning, and metalearning.

We have direct access to the fastest supercomputer in the Western world (and the world's 3rd fastest, as of June 2017), with over 5000 GPUs, also based in Lugano, Switzerland.

We don't want to rush it, and will take our time to find excellent collaborators.

More details and instructions under

http://people.idsia.ch/~juergen/erc2017.html


Jürgen Schmidhuber,
Scientific Director, Swiss AI Lab, IDSIA
Professor of AI, USI & SUPSI, Switzerland
Chief Scientist, NNAISENSE 
http://people.idsia.ch/~juergen/whatsnew.html 

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