We are looking for advanced Physical Sciences experts to support a scientific computing and AI evaluation project involving realistic, terminal-based scientific tasks.

The project focuses on translating real-world scientific workflows into reproducible computational tasks and evaluating whether AI systems can correctly solve scientific problems, perform calculations, and produce reliable outputs. ID_108942_Physical_Sciences_Exp…

Core Domains

Physics
Chemistry
Materials Science
Computational Physics
Computational Chemistry
Astronomy
Thermodynamics
Quantum Mechanics
Statistical Mechanics
Materials Modeling ID_108942_Physical_Sciences_Exp…

What You’ll Do

Design multi-step scientific tasks based on realistic workflows
Create scientific datasets, models, simulation parameters, and computational inputs
Develop expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools
Create automated tests for numerical accuracy and scientific consistency
Develop tasks involving simulation, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization
Validate units, numerical precision, physical constraints, and reproducibility
Debug computational issues and document scientific assumptions clearly ID_108942_Physical_Sciences_Exp…

Requirements

PhD, postdoctoral experience, or equivalent advanced technical experience in a relevant Physical Sciences discipline
Strong programming skills in Python, C/C++, Julia, Bash, or similar scientific languages
Experience working in Linux or terminal-based environments
Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis
Ability to independently create and validate reproducible scientific workflows
Strong understanding of scientific accuracy, numerical precision, units, and physical constraints

Physical Sciences Expert - Scientific Computing & AI Evaluation

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