Project Leader
Earth.Org
Hong Kong, HK
2天前
source : jobs4it

Hong KongLOOKING FOR : SCIENCE GRADUATE WITH STRONG QUANTITATIVE SKILLS FOR GLOBAL ENVIRONMENTAL PROJECTLocation : based in Hong KongStart date : As soon as possibleContract : Full TimeCan we quantify nature and the pace at which we are destroying it?

Data is abundant, but also scattered, jargon-filled and poorly disseminated. Consequently, the true magnitude of human encroachment on natural ecosystems still eludes the public.

By leveraging artificial intelligence and remote sensing technology, Earth.Org’s Natural Capital Ledger seeks to create an interactive geospatial database which, just like an accounting ledger, takes stock of the current natural capital and tacks its historic rate of depletion.

By mapping the depletion of key natural capital assets, we hope to combat apathy, educate and advocate for countries to weave the principles of natural capital accountancy into their economic development policies.

MISSION OVERVIEWWe believe in the power of technology to address global issues. This project will help monitor the Earth’s health through satellite image mapping and derive insights into humanity’s encroachment on natural ecosystems by analysing changes in the environment over time.

The main objective is to create the Natural Capital Ledger. This is a geo-spatial platform that combines satellite technology, artificial intelligence and cloud computing to derive insights on the health of natural ecosystems.

Are you smart, gritty and exude a can-do attitude? Do you want to contribute your skills to build a visionary tool to make the World more sustainable?

Then apply to Earth.Org. We are seeking a entrepreneurial science graduate to join a young and dynamic team in Hong Kong.

TASKS & DUTIESLead a small team of statisticians, AI experts and graphic designersDevelop and refine algorithms able to detect patterns across vast amounts of satellite image dataHelp the team correlate chromatic changes to environmental indicatorsAbility to project results onto GIS mapsGenerally, have the attitude and aptitude to inspire a young and dynamic team to obtain results.

ESSENTIAL QUALIFICATIONS : Degree in computer science, mathematics, environmental science, statistics, data analytics, artificial intelligence, physics or any related field.

Previous experience in working with remote-sensing technology, AI or cloud computing a definite plusTechnical familiarity with Geographic Information Systems (GIS) is desirablePrevious leadership experience in a scientific setting highly valuedExcellent command of the English language is essentialProven ability to work under pressure in a multicultural, multi-

site environmentResults-driven with a can-do attitudeWHAT WE DOEarth.Org is a social-environmental enterprise that uses cloud-

powered artificial intelligence and geospatial analytics to generate actionable insights to inform, educate and advocate for a more sustainable world.

MISSION OVERVIEWWe believe in the power of technology to address global issues. Earth.Org through its flagship Natural Capital Ledger project will monitor the Earth’s health through satellite image mapping and derive insights into humanity’s encroachment on natural ecosystems by analysing changes in the environment over time.

Are you smart, gritty and exude a can-do attitude? Do you want to contribute your skills to build a visionary tool to make the World a more sustainable place?

Then apply to Earth.Org.TASKS & DUTIESDerive insights from satellite image processingDevelop and refine algorithms able to detect patterns across vast amounts of satellite image dataHelp the team correlate chromatic changes to environmental indicatorsAbility to project results onto GIS mapsESSENTIAL QUALIFICATIONS : Degree in Geography, Biology, Earth Sciences or related fields with demonstrable experience in Python, RDegree holders from related fields, including advanced mathematics, physics, computer science, statistics and artificial intelligence are also encouraged to applyPrevious experience in working with remote-

sensing technology a definite plusTechnical familiarity with Geographic Information Systems (GIS) is desirableAbility to work with remote sensing specialists and have experience with frequentist and Baysesian statistics is a plusExperience with R, Python, Java Script, Bash is highly desirableCandidates with experience running multiple machine learning model ensembles, using a variety of gradient boosting, neural networks, random forests and variations on linear regressions will be preferredExcellent command of the English language is essentialProven ability to work under pressure in a multicultural, multi-

site environmentTo apply please provide a cover letter, an up to date CV, and availability.We put passion, hunger to learn and grit over technical ability.

Job Types : Full-time, Contract, Permanent with competitive compensation

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