Postdoctoral Positions at EPFL in Theoretical Machine Learning

[nicolasf...@gmail.com]

Applications are invited for a postdoctoral position in the EPFL Theory of Machine Learning Laboratory (https://www.epfl.ch/labs/tml/) in Switzerland, headed by Prof. Nicolas Flammarion.

Apply here: https://go.epfl.ch/tmlpostdoc 

Nicolas Flammarion will be at NeurIPS 2022 in person. Email him if you would like to meet up for a discussion.

**Description** 

Candidates should have completed, or be near completion of, a Ph.D. with a strong international publication record in areas such as machine learning, optimization, statistics, applied mathematics (probability, PDE,...), theoretical computer science, or related fields. 

They will lead innovative research projects in a stimulating, open, and international research environment with a highly talented and motivated team, embedded in a strong network of academic and industrial collaborators. 

A non-exhaustive list of topics currently investigated by the team includes the theory of neural networks, transfer and meta-learning, self-supervised learning, large-scale optimization and MCMC, and robust machine learning.

**About EPFL** 

EPFL ranks among the world’s top universities in computer science and machine learning in particular. It is located in Lausanne, Switzerland, a beautiful and vibrant city in an Alpine setting on the shores of scenic Lake Geneva, in the very heart of Europe. English is the primary language spoken at EPFL, and Lausanne is highly international, so no French language skills are required. EPFL is an equal-opportunity employer.

** Application process** 
Please follow the instructions here: https://go.epfl.ch/tmlpostdoc