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Climate Change AI Newsletter

We're back with updates from Climate Change AI, including an upcoming CCAI workshop in Switzerland, a number of exciting research/funding opportunities, and open positions at the intersection of climate change and machine learning.

Do you have opportunities to share or other content you would like to see included in the newsletter? Get in touch at


We are happy to announce that CCAI will be hosting a track on “AI & Climate Change” at the
Applied Machine Learning Days at EPFL in Lausanne, Switzerland. The conference will take place on January 25-29, 2020. See our website for more information on the track and consider submitting to the conference.

We have launched a Resources Page on the CCAI website with readings, datasets, and tools for the areas outlined in our paper,
“Tackling Climate Change with Machine Learning.” Have a look at the resources here.

David Rolnick and Priya Donti were interviewed for the podcast "Eye on AI". Listen to the episode

Read Alex Lacoste's blog post about how CCAI was started on the
Element AI website.


The Open Philanthropy project is offering PhD fellowships for students seeking to use AI to do good. More details here. Deadline: October 25, 2019.

Climathon San Francisco Bay Area, a climate change hackathon, will take place on October 25-27 with the theme "Using Social Networks to Address Climate Change." Find out more
here. Interested partners, mentors, judges, and volunteers can reach out by email.

Satellite image challenge xView2: Assess Building Damage by the Defense Innovation Unit. Submissions are due at 11:59PM UTC on November 22, 2019. For more information see the
challenge website.

$100,000 satellite image grants are available from the Consortium for the Valuation of Applications Benefits Linked to Earth Science (VALUABLES) by Resources for the Future (RFF) and NASA. Pre-proposals are due December 5, 2019.
Find out more.


PhD positions in the Smart Energy reseARCH (SEARCH) group at New York University. Details

PhD fellowships/internships in Data Science and Advanced Scientific Computing for Energy Science, Materials Science, Environmental science and more through the U.S. Department of Energy's Office of Science Graduate Student Research program. The deadline is November 14, 2019. Details

Several tenure track positions at Penn State. Successful candidates will have deep knowledge of building systems and building science, and will possess the potential to integrate perspectives from other disciplinary areas which may include, but are not limited to, scientific computing, data analytics, artificial intelligence as applied to system integration at the building and community level, distributed energy solutions, smart grids, and renewable energy sources. Details

The National Renewable Energy Laboratory (NREL) is hiring for a number of academic and non-academic positions involving machine learning, for example,
this position. For more information on all the positions available, please refer to NREL's careers website.

The U.S. Advanced Research Projects Agency - Energy (ARPA-E) advances high-potential, high-impact energy technologies that are too early for private-sector investment. ARPA-E has extended the application deadline for its fellowship program to October 15, 2019. Apply

The German think tank Agora Energiewende is hiring a Project Manager (International Energy Data and Modelling) with a university degree in statistics, informatics, economics or a similar degree and appropriate professional experience of at least two years. The deadline for applications is October 13, 2019. Apply

Atlas AI is an AI start-up out of Stanford University focused on social impact. Their products support decision-makers in emerging markets and across the development sector, in areas including agriculture, food security, and other climate change adaptation domains. They have multiple openings for machine learning engineers, researchers, and GIS experts. Details

London-based startup DynAkon is seeking R&D developers for problems related to biodiversity monitoring.The role will involve designing and implementing platforms around camera trap and citizen science data.
Details here.

REsurety in Boston is looking for a Power Markets Research Analyst with familiarity with statistical, machine learning, or econometric techniques. The work supports renewable energy developers. Details

Interesting Readings

Deep learning for accelerated all-dielectric metasurface design
Christian C. Nadell, Bohao Huang, Jordan M. Malof, and Willie J. Padilla
This work shows how ML can help find materials to turn waste heat into electricity. The authors model complex all-dielectric metasurface systems with deep neural networks, using both the metasurface geometry and knowledge of the underlying physics as inputs. They speed up the modeling process by over five orders of magnitude, and also provide techniques to find new complex all-dielectric metasurface designs.

Computational sustainability: computing for a better world and a sustainable future
Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad et al.
The authors, who are members of the Computational Sustainability Network (
CompSustNet), describe how computer scientists can play a key role in helping address societal and environmental challenges in pursuit of a sustainable future, while also advancing computer science as a discipline.

A big data guide to understanding climate change: The case for theory-guided data science
James H. Faghmous, Vipin Kumar
This article introduces a data science audience to the challenges and opportunities to mining large climate datasets. The authors focus on data, methods, and application challenges.

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