Learn · Code · Simulate · Discover
Become a Computational Scientist.
Learn Python, AI, GIS, machine learning, statistics and scientific computing through practical research problems designed for your discipline.
Scientific Domains
One platform. Many scientific disciplines.
Research Atlas connects computational skills to your scientific field. Environmental Science is live now — more domains are on the way.
Environmental & Climate Science
Apply computational methods to understand environmental systems, climate patterns, hydrology, and ecological dynamics.
Life Sciences & Bioinformatics
Analyse genomic data, model biological systems, and apply computational methods to understand life at the molecular level.
Medicine & Health
Apply data science, machine learning, and statistical methods to biomedical data, clinical research, and public health.
Engineering
Use numerical modelling, simulation, and scientific computing to solve structural, fluid, and systems engineering problems.
Agritech
Apply remote sensing, GIS, and machine learning to precision agriculture, crop monitoring, and food systems analysis.
Social & Behavioural Sciences
Use quantitative methods, network analysis, and spatial statistics to understand social patterns and human behaviour.
Physical Sciences
Apply computational physics, numerical methods, and scientific simulation to chemistry, physics, and materials science.
Data Science
Master the complete data science workflow — from data wrangling to machine learning, visualisation, and scientific communication.
The Research Atlas Method
Learn by solving real scientific problems.
Every learning path follows the same workflow that working computational scientists use every day.
Scientific Problem
Start with a real question from your discipline
Data
Work with realistic scientific datasets
Code
Write Python to load, clean, and analyse
Analysis
Apply statistics, GIS, and ML methods
Finding
Interpret results and communicate them
Featured Research Lab
Bluewater Basin
Investigate groundwater behaviour using terrain, well, and environmental data. The flagship Research Atlas lab — and the reference implementation for future scientific domains.
Bluewater Basin: Groundwater Analysis
Investigating groundwater behaviour using terrain, well, and environmental data
Watershed Land Cover Analysis
Mapping and analysing land cover change across the Bluewater Basin
Career Tracks
What could you become?
See where computational skills can take you in your scientific field.
Environmental Data Scientist
Applies data science, GIS, and statistical methods to environmental problems — monitoring ecosystems, modelling climate impacts, and informing environmental policy.
Computational Hydrologist
Models water movement, groundwater behaviour, and watershed dynamics using numerical methods, GIS, and statistical analysis.
GIS Analyst
Creates, analyses, and manages geospatial data to support scientific, environmental, and planning decisions.
Geospatial Data Scientist
Applies machine learning and advanced analytics to geospatial data at scale.
Climate Data Scientist
Analyses climate datasets, models future scenarios, and communicates climate risk.
Scientific Data Scientist
Applies data science methods across scientific disciplines to extract insight from experimental and observational data.
Jobs
Computational science jobs
A specialised job board for computational science roles. Sample listings shown — real feeds coming soon.
Environmental Data Scientist
SAMPLEAquaSystems Environmental
Remote (US) · remote
GIS Analyst
SAMPLETerraMapping
Denver, CO · hybrid
Computational Hydrologist
SAMPLEWatershed Research Institute
Remote (Global) · remote
Geospatial Data Scientist
SAMPLEOrbital Analytics
San Francisco, CA · hybrid
Climate Data Scientist
SAMPLEClimateLabs
Remote (EU) · remote
Research Software Engineer
SAMPLEScientific Computing Lab
Cambridge, UK · hybrid
Why Research Atlas
Built around real scientific workflows.
No fake partners. No inflated numbers. Just the computational methods that working scientists actually use.