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).
Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet?
The Biosystems Data Analysis (BDA) group at the University of Amsterdam is looking for a postdoctoral researcher to develop and rigorously benchmark quantum-computing approaches for high-impact problems in bioinformatics.
This project is part of the Faculty of Science’s new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at the cutting edge of quantum application; four Q-MMD seed projects across the Faculty of Science, together with a Lead Scientist Quantum Applications currently being recruited. This team will explore where quantum and hybrid quantum-classical methods can make a real scientific difference, build reusable expertise and create the basis for future academic and public-private collaborations. At BDA, you will be embedded in a group whose experience is in advanced methods for biological and biomedical data.
We welcome applications from candidates with expertise in quantum computing who are motivated to cross disciplinary boundaries towards bioinformatics and computational biology. You do not need to arrive as an expert in both fields.
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