Private Ph.D

Scientific Computing / Research Engineering Expert — Earth Sciences

📍 Remote

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Job Description

Turing is hiring Earth Sciences experts for a 5-week remote contractor role focused on developing scientific computing and AI benchmark tasks. Candidates should have advanced Earth Science expertise with strong programming and experience in geospatial analysis, scientific data processing, numerical modeling, or environmental datasets. Payment is $300 per approved task, with a minimum commitment of 40 hours per week.

Qualification

Required Skills & Qualifications:
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
- Strong expertise in a relevant Earth-science discipline.
- Strong programming skills in Python, R, Julia, Bash, or another scientific programming language.
- Experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
- Ability to work independently in Linux/terminal-based environments.
- Ability to build, debug, and validate reproducible scientific computational workflows.
- Strong understanding of scientific quality control, spatial/temporal data, uncertainty, and numerical accuracy.
Preferred Qualifications:
- Experience with NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, or similar tools.
- Experience with NetCDF, HDF5, GeoTIFF, shapefiles, or GRIB formats.
- Experience working with climate, weather, satellite, seismic, oceanographic, geological, or hydrological datasets.
- Familiarity with Docker, Conda, Git, CI/CD, automated testing, or HPC environments.
- Research software engineering, scientific benchmarking, or automated grader development experience.
- Experience evaluating AI coding/terminal agents or developing AI-system tasks and evaluations.
- Publications or open-source contributions in Earth, environmental, geospatial, or computational sciences.

Experience

0 - 0 years