Postdoc on Quantum Bayesian Optimization for Molecular and Material Design
open universiteit · Amsterdam, NL
Are you passionate about exploring the potential of Quantum Computing for Machine Learning in Molecular and Material applications? Do you enjoy doing cutting edge research at the crossroads of Informatics, Physics, and Molecular Sciences? Join Us In this pivotal postdoctoral position, you will explore and realize the potential of Quantum Computing to improve Machine Learning models to accelerate atomistic simulation and model molecular and material properties. You will focus on Quantum Optimization and in making the complexity of Quantum Circuits tractable, but you will be free and encouraged to propose and pursue novel directions. You will collaborate closely with the Quantum initiative of the Molecular and Material Design MMD technology hub , as well as with the Quantum Computing division of SURF and with the Dutch Institute for Emergent Phenomena DIEP . You will be embedded in the Computational Soft Matter CSM Lab , a joint initiative of the Institutes of Informatics IvI , Physics IoP and Molecular Sciences HIMS . This is what you will do You are expected to conduct original and fundamental research at the intersection of Quantum Computing, Statistical Physics, Atomistic Modelli