Machine Learning Scientist and Engineer for Weather and Climate

Unist
CH - Zürich (Kreis 11)
December 22, 2024

Organisation/Company:
ETH Zürich
Research Field:
Computer science » Other Mathematics » Applied mathematics
Researcher Profile:
Recognised Researcher (R2)
Country:
Switzerland
Application Deadline:
18 Mar 2025 - 22:
59 (UTC)
Type of Contract:
Temporary
Job Status:
Full-time
Hours Per Week:
41
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description Machine Learning Scientist and Engineer for Weather and Climate
The Center for Climate Systems Modeling (C2SM) at ETH Zurich, in partnership with the Federal Office of Meteorology (MeteoSwiss), is pioneering innovative methods to leverage machine learning for numerical weather forecasting and climate modeling.
Project background
The HiRAD-Gen project focuses on creating cutting-edge generative machine-learning models to transform coarse-resolution atmospheric data into high-resolution outputs. By utilizing advanced techniques such as Corrector-Diffusion models and fine-tuned foundation models, HiRAD-Gen aims to deliver precise and computationally efficient high-resolution forecasts, significantly lowering computational costs while enhancing model reliability.
We are hiring for two positions :
a Machine Learning Engineer to develop the software infrastructure and the product and a Machine Learning Scientist to focus more on the ML model development.
Profile University degree (MSc or PhD) in data science, computer science, applied mathematics or a related field
Proven experience in developing and implementing machine learning algorithms and data science concepts and methods
Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Keras, etc.) and ML Ops
Experience in handling and processing large data sets or experience in high-performance computing (HPC) is an advantage
You are creative, solution-oriented and have excellent communication skills and the ability to work with interdisciplinary teams
Good knowledge of spoken and written English and knowledge of an official language
We offer Unique opportunities to develop state of the art Machine Learning systems
You will join a dynamic team operating at the intersection of cutting-edge research and real-world applications
We are committed to fostering a diverse and inclusive workplace and offer flexible working arrangements to support work-life balance for all team members.
We look forward to receiving your online application with the following documents:

CV
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
About ETH Zürich ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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Read the full job description and apply online on the recuiter's web-site

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