Sunday, January 5, 2014

[Comp-neuro] Marie Curie Experienced Researcher Fellowship at the Swiss AI Lab IDSIA

We offer a prestigious Marie Curie Experienced Researcher Fellowship [1]. The general goal is to advance the state of the art in Machine Learning & Perception, in the context of ongoing research projects with neurophysiological connections at the Swiss AI Lab IDSIA. Special restrictions apply [2].


Join the Deep Learning team that won more international competitions in machine learning and pattern recognition than any other research group [3-8], also the first team to create superhuman visual classifiers [4], with the first Deep Learners  to win contests in object detection [5] and image segmentation [6]. We are at the Swiss AI Lab IDSIA [9], in the world's leading science nation [10], also the world's most competitive country for the 5th year in a row [11] - since 2009, when our neural networks (NN) became the first Deep Learners to win official international competitions [7]. Many leading companies are now using our techniques [8]. We are interested in candidates applying for our prestigious Marie Curie Experienced Researcher Fellowship connected to the ProtoTouch project [2]. We offer a highly competitive Swiss salary. Please follow the instructions [1]. Next deadline 20 January 2014.


[1] Application instructions under

[2] ProtoTouch project with funding through a Marie Curie Experienced Researcher Fellowship . Note the very special constraints: Experienced Researchers must, at the time of recruitment, be in possession of a doctoral degree or have at least 4 years of full-time equivalent research experience. Experienced researchers must ALSO have less than 5 years of full-time equivalent research experience. See guidelines

[3] Deep Learning since 1991 - our deep NN have, so far, won 9 important contests in pattern recognition, image segmentation, object detection  - deeplearn it!

[4] 2011: First superhuman visual pattern recognition in an official international competition (with secret test set known only to the organisers) - twice better than humans, three times better than the closest artificial NN competitor, six times better than the best non-neural method

[5] 2012: First Deep Learner to win a contest on object detection in large images: our deep NN won both the ICPR 2012 Contest and the MICCAI 2013 Grand Challenge on Mitosis Detection (important for cancer prognosis etc, perhaps the most important application area of Deep Learning)

[6] 2012: First Deep Learner to win a pure image segmentation competition: our deep NN won the ISBI'12 Brain Image Segmentation Challenge (relevant for the billion € brain projects in EU and US)

[7] 2009: First Deep Learner to win international competitions in general: deep LSTM recurrent neural networks won 3 connected handwriting contests at ICDAR 2009, performing simultaneous segmentation and recognition

[8] My first Deep Learner of 1991 + Deep Learning timeline 1962-2013 (also summarises the origins of backpropagation, still the central algorithm of Deep Learning) 

[9] The Swiss AI Lab IDSIA

[10] The world's leading science nation with the most Nobels/patents/citations/funding per capita

[11] Global Competitiveness Reports 2009-2013

Happy New Year!

No comments:

Post a Comment