Software engineer on machine learning for materials design

The Theory Group led by Prof. Emilio Artacho is looking for a software engineer candidate who will work on the development of state-of-the-art Machine Learning (ML) techniques applied to Materials Design.

The candidate will be responsible for implementing, evaluating and testing modern quantum and classical ML techniques to predict novel materials for hydrogen storage, alternative ways of hydrogen production for internal combustion engines and fuel cells. Access to a quantum computer will be provided.