Postdoc: ML & Urban Water Scarcity Forecasting

Swiss Federal Institute for Forest, Snow and Landscape Research WSL; Birmensdorf (ZH); On-site; CHF 110,000 - 165,000; Full time

Job summary

Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) seeks an early career scientist with strong ML expertise in LSTM and Graph Neural Networks to work at the interface of weather and climate modelling and end-user applications.

The successful candidate will have a PhD in environmental sciences or related data sciences, experience with hydrometeorological and spatial-temporal modelling, proficiency in Python/R, and a proven publication record.

Qualifications

• PhD in environmental sciences or related data sciences.
• Experience with hydrometeorological/spatial-temporal modelling and big data processing.
• Fluent in English and strong publication record.

Responsibilities

• Interface models with sub-seasonal forecasts for end-users and stakeholders.
• Publish outcomes in scientific journals.
• Collaborate in an international, dynamic research team.

Skills

LSTM

Graph Neural Networks

Python

R

Big Data

Forecasting

Education

PhD in environmental sciences / related data sciences

Job description

Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) seeks an early career scientist with strong ML expertise in LSTM and Graph Neural Networks to work at the interface of weather and climate modelling and end-user applications.

The successful candidate will have a PhD in environmental sciences or related data sciences, experience with hydrometeorological and spatial-temporal modelling, proficiency in Python/R, and a proven publication record.