Job Description

This is how you can contribute

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Develop and implement a deep learning model that estimates meteorological visibility from camera images Define the requirements for the model together with stakeholders from the aviation sector Compile a data set for training and evaluation Train, evaluate and improve models step-by-step Collaborate on setting up the productive inference environment Document and present the results achieved

This makes you unique

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Completed university degree or doctorate in natural sciences or engineering Practical experience with the implementation of deep learning (DL) models (development with PyTorch, adaptation and fine-tuning of pre-trained models) In-depth knowledge of relevant DL techniques (especially Vision CNNs and Transformers) Ideally, experience with the productive operation of models (MLops) Independent and solution-oriented work Good knowledge of at least one official language and English

In a nutshell

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As an Innovation Fellow, you will spend a year driving forward a key challenge facing the Federal Administration and independently developing new approaches for more efficient services. You will work on topics with a direct impact, use your tact and sensitivity in dealing with stakeholders, and at the same time benefit from interesting conditions, valuable contacts and real opportunities to shape the future. Find out more about the project at MeteoSwiss and the benefits of the programme on the website.


Starting date: 01.09.2026
Type of employment: temporary
12 months
Reference no.: #LI-MCH1012
Place of work: Operation Center 1, Frachtstrasse, 8058 Zurich

What sets us apart

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The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record and forecast weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the community and to the benefit of industry, science and the environment.



The offices of the Federal Department of Home Affairs (FDHA) take systematic measures to ensure a good working environment and the health of their staff. This commitment has earned them the Friendly Work Space label.


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