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Postdoc position on "The Energy Landscape and Dynamics of Machine Learning Algorithms”

Applications are invited to fill one postdoctoral fellowship on "The Energy Landscape and Dynamics of Machine Learning Algorithms”, possibly starting in the Fall 2019 (or earlier). The fellowship is for one year and is funded by the Simons collaboration "Cracking The Glass Problem”.

The successful candidate will work at ENS Paris under the supervision of Giulio Biroli. She/he will belong to a team based at ENS Paris and EPFL Lausanne led by Giulio Biroli and Matthieu Wyart working on statistical physics approaches to Deep Learning. 

Further information about the postdoctoral position is available on the website

https://scglass.uchicago.edu/postdoc-on-the-energy-landscape-and-dynamics-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 January 15, 2019.


CountryFrance
LabENS Paris
Deadline15/01/2019 0:00
Linkhttps://scglass.uchicago.edu/postdoc-on-the-energy-landscape-and-dynamics-of-machine-learning-algorithms/

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