Quantum Formatics is seeking a Computational Scientist to advance an AI-accelerated materials discovery pipeline. You will develop graph neural networks for materials property prediction and integrate ML interatomic potentials while benchmarking against experimental data.
You will collaborate with the Lead Scientist and experimental teams, mentoring future members as the team grows, and help shape the computational platform direction.
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This role, AI Materials Scientist: Graph ML for Discovery + Equity at Quantum Formatics, could be your next opportunity.
The position is based in Cambridge, England, United Kingdom.
This opportunity is part of our work in IT & Technology, Other.
The advertised compensation is 89.000 - 134.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the AI Materials Scientist: Graph ML for Discovery + Equity role in the description above.