Nina Effenberger
PostDoc (she/her) at ETH Zürich.
Currently, I am a PostDoc in Reto Knutti’s research group Climate Physics at ETH Zürich. In my research, I use data to analyze the impact of climate change on renewable energy, with the goal of bridging the gaps between climate science, machine learning, and energy modeling. Please reach out to me in English or German if you’re interested in these topics!
During my PhD, I was part of Nicole Ludwig’s group Machine Learning in Sustainable Energy Systems at the University of Tübingen where I also joined the International Max Planck Research School for Intelligent Systems (IMPRS-IS). As part of my PhD, I have conducted a half-year research stay with the Weather Forecast Research Team at the University of British Columbia in Vancouver, Canada.
Additionally, I am trained in mental health first aid and promote mental health in academia. I am also an alumni of the PhD initiative sustainAbility.
news
| Mar 23, 2026 | Do we need regional climate data for reliable wind and solar projections? Yes – for useful uncertainty assessment. Check out our new pre-print on arxiv. |
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| Dec 08, 2025 | Find our new pre-print Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe now on arxiv. |
| Jan 17, 2025 | I have submitted my thesis and will begin a Postdoc position at ETH in the Climate Physics group this February. |
| Dec 16, 2024 | Our paper Towards turbine-location-aware multi-decadal wind power predictions with CMIP6 and our corresponding spotlight presentation are now available on the Neurips CCAI website. |
| Nov 28, 2024 | Our article got published in the DFG journal forschung. Find it in German and English. |
