Weather Data Scientist
Envision Digital is a global leading smart energy management company. It owns the world’s largest Energy IoT platform, EnOS™. Envision has regional offices across Asia, Europe, North and Latin America and has established global R&D and engineering centres in Denmark, Germany, Singapore, China and the United States. The Envision’s Global Digital Headquarter has been set up in Singapore in early 2018, partnering/cooperating with NCAR, ECMWF, IBM, Climacell, Ascendas-Singbridge Group, Sunseap Group, the Solar Energy Research
Institute of Singapore, and the Nanyang Technological University. The meteorological capacity developing in Singapore will be a key base for Envision’s business.
Due to Envision’s expanding business, we are seeking best-in-class meteorologists and data scientist with experience in state-of-the-art weather modelling, or machine learning. In cooperation with US NCAR, UK
Met Office, IBM, ECMWF and Peking University, he/she will work with Envision’s EnWeather domain to improve forecast accuracy of wind, solar, rainfall, lightning and temperature etc.
P1: cloud/rainfall modelling expert to improve Envision’s rainfall forecast.
P2: machine learning expert to improve rainfall forecast accuracy from radar.
Ph.D./MSc in Meteorology/Atmospheric Physics, Statistics or data science, He or she must have experience working with NWP model or machine learning and capable of integrating new advances gleaned from the
research community to improve the accuracy of weather forecasts. Programming (Python, bash, NCL, Fortran…),
Good English oral and written communication skills, Chinese is a plus. The selected candidate will be employed by Envision Digital Singapore with a highly completive package and can start ASAP. The starting salary and the level of entry will depend upon experience. In addition to salary, a performance-related bonus payment and healthy insurance package will apply.
The candidate will send a CV describing modelling and programming skills, research experience, spoken languages, publications and conferences, etc via email to <firstname.lastname@example.org>
To apply for this job email your details to email@example.com