Doctoral Position in Causal Representation Learning
Grande área: Exatas e da Terra / Engenharias
Tipo de oportunidade: Pós-graduação
Objetivo: The goal of this position is thus to investigate how one can learn causal models of data from a reasonable set of assumptions as well as the experimental design of performing interventions and acquiring interventional data efficiently. In this project, you will be involved in state-of-the-art machine learning research from the beginning and provide you an opportunity to get started immediately with your topic. Our group is one of the few worldwide which successfully combines causality and deep learning with downstream applications from robotics to healthcare
Inscrições: até 01 de dezembro de 2021
Local: Suécia
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