Planet
Space
VisitingScientist(PostdoctoralResearcher)
“Visiting Scientist (Postdoctoral Researcher) at Planet. Skills: Geospatial foundation models (GFMs), Time-series data, Deep learning frameworks, Python, Geospatial scientific stack. Develop proprietary geospatial foundation models (GFMs). Create temporally dense embeddings that capture the dynamic and ephemeral nature of our planet”
Industry & Context.
Identify performance bottlenecks; Solve our world’s toughest obstacles
What They're Looking For.
Must Have
PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field, Hands-on experience with foundation models, Hands-on experience with contrastive learning, Hands-on experience with deep learning frameworks (PyTorch/TensorFlow), Expert-level Python skills, Proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas), Experience building automated pipelines for preprocessing and labeling planetary-scale datasets, Experience working within a research lab environment
Nice to Have
Prior research in flood-extent mapping, water dynamics, or disaster response, Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay, Proven ability to work with a variety of sensors including PlanetScope, Landsat, and Sentinel-1/2, A history of developing "human-in-the-loop" workflows or active learning strategies for labeling time-sensitive data
What You'll Do.
Develop proprietary geospatial foundation models (GFMs)
Create temporally dense embeddings that capture the dynamic and ephemeral nature of our planet
Contribute to the design and training of a foundation model specifically optimized for Planet imagery
focusing on the integration of time-series data
Execute the systematic evaluation of existing GFM architectures against PlanetScope data
Build and test workflows for detecting short-lived events
such as floods and fires
using high-cadence embeddings
Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover
Transition experimental prototypes into scalable
Co-author findings for publication in top-tier journals
Present research at leading conferences
How You'll Work.
Team & Collaboration
Collaborate with "Planeteers" across data pipelines and analytics; Work closely with Planet’s research scientists
Communication Scope
Co-author findings for publication in top-tier journals; Present research at leading conferences
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