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[MAT] Applied Computational Surface Chemist

prometheus · Remote, United States

RemoteImported listingfull-time16 days ago

About The Role

The Role
We’re hiring an Applied Computational Surface Chemist to build rigorous evaluations and benchmarks for Prometheus’s materials models across ALD/ALE, catalysis, and other surface chemistry problems. You’ll work closely with ML researchers, computational scientists, and experimental teams to ensure our models can solve complex, real-world surface chemistry problems.
What You’ll Do
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Build state-of-the-art evaluations and benchmarks for ALD, ALE, catalysis, and related surface chemistry problems
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Translate real-world industrial and research problems into rigorous model evaluation tasks
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Apply computational surface chemistry methods to validate model predictions
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Identify challenging edge cases that require deep domain expertise
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Work with experimental teams to benchmark predictions against physical results and continuously improve evals
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Partner with ML researchers to identify model failure modes and prioritize areas for improvement
What We’re Looking For
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Deep expertise in computational surface chemistry, heterogeneous catalysis, or related fields
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Strong experience applying computational methods to real-world surface chemistry problems
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Experience with ALD/ALE, semiconductor process chemistry, or industrial catalysis is a plus
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Strong understanding of adsorption, reaction mechanisms, surface energetics, and kinetics
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Experience working closely with experimentalists and validating computational predictions
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Ability to independently reason through difficult or unusual surface chemistry problems

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