Applications are invited for a postdoctoral position in the EPFL Machine Learning and Optimization Laboratory (https://mlo.epfl.ch) in Switzerland, headed by Prof. Martin Jaggi.

Please apply using the form below.

**Description**

Candidates should have completed, or be near completion of, a PhD with a strong international publication record in areas such as (but not limited to) machine learning, optimization, federated & decentralized learning, natural language processing (LLMs for example), etc.
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. Other benefits include a competitive salary, excellent research infrastructure and compute cluster, an office next to a stunning lake and even more stunning mountains, and generous travel support.

It comes with the possibility co-lead projects with students, and potentially in collaboration interdisciplinary with communities such as medicine, industry or other sciences - if you have interest. This is not a requirement.

**About EPFL**

EPFL ranks among the world’s top universities in computer science, and in 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 main language spoken at EPFL, and Lausanne is highly international, such that no French language skills are required. EPFL is an equal opportunity employer.


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