ERC Grant: Jobs for PostDocs & PhD Students at the Swiss AI Lab, IDSIA
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Juergen Schmidhuber
Jul 18, 2017, 3:37:42 PM7/18/17
to Machine Learning News
In 2017 and 2018, we intend to hire numerous PhD students and postdocs on my new 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, 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
.
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, 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
.
Schmidhuber Juergen
Jul 9, 2019, 6:16:55 AM7/9/19
to Machine Learning News
We intend to hire additional PhD students and postdocs interested in "Recurrent Neural Networks and Related Machines That Learn Algorithms.” More details and instructions under
Juergen Schmidhuber
Dec 5, 2019, 11:30:43 AM12/5/19
to Machine Learning News
We intend to interview prospective
PhD students and postdocs
at NeurIPS 2019 in Vancouver.
Please find application instructions under
http://people.idsia.ch/~juergen/erc2017.html
NNAISENSE will also be present, and is also hiring:
https://nnaisense.com/careers.html
PhD students and postdocs
at NeurIPS 2019 in Vancouver.
Please find application instructions under
http://people.idsia.ch/~juergen/erc2017.html
NNAISENSE will also be present, and is also hiring:
https://nnaisense.com/careers.html
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