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Postdoctoral Appointee -Self Driving Laboratories For Earth And Environmental System Science
Develop optimized sensor networks to enhance data collection for Earth system studies.
Remote
Entry Level
1 month ago
Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.
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✨ About The Role
- The role involves performing cutting-edge research in optimized sensor network design and instrument integration.
- Candidates will work at the Argonne Testbed for Multiscale Observational Science (ATMOS) and engage in onsite fieldwork.
- The position requires collaboration with both the Mathematics and Computer Science and Environmental Science divisions.
- The successful candidate will analyze data and model outputs to unveil the underlying physics of multi-scale earth system phenomena.
- There is an expectation to publish results in scientific journals and present findings at meetings.
âš¡ Requirements
- A completed or soon-to-be completed PhD in Computer Science, Atmospheric or Earth System Science, or a related field is essential for this role.
- Strong coding skills, particularly in Python, are necessary for analyzing data and modeling outputs.
- Candidates should have experience in developing machine learning or AI models, especially in the context of atmospheric and weather phenomena.
- Effective written and verbal communication skills are crucial for disseminating findings and collaborating with team members.
- A background in earth system models and experience with fieldwork will be beneficial for success in this position.
Postdoctoral Appointee -Self Driving Laboratories For Earth And Environmental System Science
Remote
Science
About Argonne National Laboratory
Argonne is home to groundbreaking discoveries and transformative technologies across many science domains.