Postdoc Position on “The Energy Landscape of Machine Learning Algorithms”

08 November 2016  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 websitehttps://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…


Link to Full Article: Postdoc Position on “The Energy Landscape of Machine Learning Algorithms”

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!