This is a fully remote position, open to applicants in Turkey, +2 more countries.

📋 Description

• Design multi-step terminal-based tasks that reflect realistic workflows in physical science.

• Develop self-contained computational environments with specific dependencies and scientific software.

• Create input datasets, molecular structures, simulation parameters, experimental data, and model configurations.

• Implement expert reference solutions utilizing Python, Bash, C/C++, Julia, or specialized tools in the domain.

• Develop automated tests to ensure numerical accuracy, physical consistency, convergence, and proper output structure.

• Create tasks that encompass simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.

• Define suitable numerical tolerances, units, boundary conditions, and anticipated scientific behavior.

• Ensure tasks are reproducible and run successfully without requiring runtime downloads.

• Troubleshoot issues related to dependencies, numerical precision, solver stability, performance, and file formats.

• Document scientific assumptions, expected behaviors, and computational limitations for the benefit of reviewers.

⛳️ Requirements

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in fields such as physics, chemistry, materials science, astronomy, computational science, or a related discipline.

• Proficient programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.

• Experience in working within Linux or terminal-based environments.

• Practical experience with numerical methods, scientific modeling, simulations, or quantitative data analysis.

• Capability to independently develop and validate reproducible computational scientific workflows.

• Strong understanding of units, numerical precision, physical constraints, and the principles of scientific reproducibility.

• Background in developing, debugging, or validating scientific computational models or workflows.