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Applications are invited to fill one postdoctoral fellowship on "The Energy Landscape of Machine Learning Algorithms", possibly starting in the Fall 2017 (or earlier). The fellowship is funded by the Simons collaboration "Cracking The Glass Problem”.

 

The successful candidate will be affiliated at EPFL for two years.  She/he will spend half of that time there under the supervision of Matthieu Wyart in the Laboratory of Complex Systems, and the other half in Paris under the supervision of Giulio Biroli at (IPhT CEA & ENS).

 

Further information about the postdoctoral position is available on the website

https://scglass.uchicago.edu/the-energy-landscape-of-machine-learning-algorithms/

We would be grateful if you would bring this announcement to the attention of strong, creative individuals with a background in statistical physics and/or machine learning and encourage them to apply.

 

The deadline for applications is December 31, 2016.

Job website: 
https://scglass.uchicago.edu/the-energy-landscape-of-machine-learning-algorithms/