AI Modeling Internship for Climate & Sustainability
- Yorktown HeightsSan JoseCambridgeAlbany
- Research
- Internship
AI Modeling Internship for Climate & Sustainability
- Yorktown HeightsSan JoseCambridgeAlbany
- Research
- Internship
Introduction
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today’s most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today’s most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities
This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.
As an intern, your responsibilities will include designing, developing and conducting experiments with large AI models that tackle climate & sustainability challenges. You will work with complex earth observation, weather and climate datasets in high-performance multi-GPU computing environments. The resulting work will be of a calibre for publication in peer-reviewed literature.
Required Technical and Professional Expertise
- Applicants should be PhD & MS students pursuing graduate studies.
- Required expertise includes training and designing AI models with PyTorch for spatial and temporal applications using large geospatial datasets.
- You should be familiar with advanced AI concepts such as diffusion and graph neural networks, and have experience implementing deep learning models for computer vision and timeseries applications.
Preferred Technical and Professional Expertise
- Preferred expertise includes implementing advanced AI models including multi-modal fusion.
- We also desire a candidate with experience developing models for geospatial or weather and climate applications.
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Key Job Details
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