Employer: eidg. Forschungsanstalt WSL
Contract: 80-100% (f/m/d)
Academic: Post-doctorant
Locations: Zürich & Schaffhouse
Job Nature: Full-time research Postdoctoral position (duration: 2 years, starting in January 2027 or by agreement)
Description
The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.
The WSL has initiated the Research Program “NOVA-City: Nature-based and Open Solutions for Viable, Adaptive Cities” ) with the focus on three medium-sized cities in Switzerland and how to ensure long-term resilience, environmental sustainability, and a high quality of life under changing climatic, ecological, and societal conditions. The objective of the Nova-City project WaterScarCity (Water Scarcity Forecasting for Swiss Cities) is to help cities prepare against the challenges imposed by more frequent and intense heat and drought conditions using probabilistic subseasonal forecasts. It is located at the Research Unit Mountain Hydrology and Mass Movements, which develops novel operational hydrological forecast systems.
We are looking for a PostDoc in Machine Learning and Urban Water Scarcity modelling (80-100% (f/m/d)). The position is for a duration of two years, starting in January 2027 or by agreement.
You are an early career scientist with an interest in multidisciplinary research and excellent knowledge in Machine Learning methods like LSTM and Graph Neural Networks. You are expected to have a background in the use and application of weather and climate model output, with strong expertise and experience in programming (R, Python) and in the application of statistical and probabilistic forecasts. You will work on the interface of the various models developed at WSL, ETH, EMPA and EAWAG with sub-seasonal forecasts. Experience with the development of user-friendly Web-based applications in consultation with end-users and stakeholders is a plus. You publish your outcomes in scientific journals.
You have a doctoral degree in environmental sciences or related discipline including data sciences. You have experience in hydrometeorological and spatial temporal (urban) modelling and in-depth knowledge of applied data sciences and processing of Big Data. The ability to work independently, conceptually and precisely as well as flexibility and willingness to perform are among your strengths, as well as good communication skills and cooperation in an international and dynamic research team. You are fluent in English and have according to your career stage an above average publication record.
The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.
Application deadline: 15 November 2026
Contact: Beatrice Lamprecht – Human Resources WSL
Phone:
Address: Zürcherstrasse 111, 8903 Birmensdorf
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PostDoc in Machine Learning and Urban Water Scarcity modelling 80 - 100% (f/m/d) in Zürich Arbeitgeber: EPFL CED Centre d'Employabilité et de Développement / Employability and Development Center
Empa bietet eine inspirierende und interdisziplinäre Forschungsumgebung in Dübendorf, wo Mitarbeiter die Möglichkeit haben, an der Schnittstelle von künstlicher Intelligenz und Energiesystemmodellierung zu arbeiten. Mit einem starken Fokus auf persönliche und berufliche Entwicklung sowie enger Zusammenarbeit mit der ETH Zürich, fördert Empa eine Kultur der Innovation und des Wissensaustauschs, die es den Mitarbeitern ermöglicht, bedeutende Beiträge zur Schaffung nachhaltiger Energiesysteme zu leisten.
Kontaktdaten:
EPFL CED Centre d'Employabilité et de Développement / Employability and Development Center Recruiting-Team
