REMOTEFULLTIME
Scientific Computing & Research Engineering Expert - Earth Sciences
Edatabae
Remote · remote · Posted 26d ago
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Undisclosed4–20 yrsfulltimeRemote
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Section · 01
About this role
We are looking for Earth Sciences experts with strong computational skills to support an advanced AI evaluation initiative focused on building realistic scientific computing tasks.
This opportunity is ideal for researchers and professionals who have experience in scientific modeling, geospatial analysis, environmental datasets, and computational workflows .
Role Overview
As a Scientific Computing / Research Engineering Expert - Earth Sciences , you will:
- Design realistic scientific computing tasks based on real-world Earth Science workflows
- Build computational workflows involving climate, atmospheric, geological, hydrological, oceanographic, and environmental data
- Develop reproducible environments and validate scientific outputs
- Create evaluation criteria to assess AI-generated solutions and scientific accuracy
Areas of Expertise
We are looking for experts in:
1 - Climate Science
2 - Atmospheric Science
3 - Geophysics
4 - Oceanography
5 - Geology
6 - Hydrology
7 - Environmental Modeling
8 - Remote Sensing
9 - Earth System Science
2 - Atmospheric Science
3 - Geophysics
4 - Oceanography
5 - Geology
6 - Hydrology
7 - Environmental Modeling
8 - Remote Sensing
9 - Earth System Science
Required Skills Experience
- PhD, postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or related fields
- Strong expertise in at least one Earth Science domain
- Experience with scientific programming using:
- Python
- R
- Julia
- Bash
- MATLAB/Octave or similar tools
- Experience with:
- Scientific data processing
- Numerical modeling
- Geospatial analysis
- Environmental datasets
- Time-series analysis
- Linux/terminal-based environments
Engagement Details
Locations: Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, Colombia
Work Mode: Remote
Engagement: Contractor Assignment
Duration: 10 weeks
Commitment: Full-time (40 hours/week) with 4 hours PST overlap
Work Mode: Remote
Engagement: Contractor Assignment
Duration: 10 weeks
Commitment: Full-time (40 hours/week) with 4 hours PST overlap
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
MatlabRemote sensinghydrologyTime Series AnalysisProgrammingGeophysicsPythonResearchData ProcessingLinux