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Research Scientist
2 months ago
We are seeking a highly motivated and experienced Postdoctoral Research Associate to join our team at the University of Oklahoma. The successful candidate will be a key member of a multidisciplinary team focused on developing ethical and trustworthy AI for Earth Science applications.
Key Responsibilities- Conduct research in ethical and responsible trustworthy AI and responsible conduct of research (70% time)
- Develop and test bias assessment and management strategies and risk management frameworks focused on bias in AI for Earth Science applications
- Integrate with the other postdocs, students, and researchers throughout the institute (15% time)
- Collaborate with interdisciplinary team members, including social scientists, to develop and implement AI solutions for Earth Science applications
- Publish and present research results at conferences and journals (15% time)
- Ph.D. in Machine Learning/Artificial Intelligence and experience with atmospheric sciences or a PhD in Atmospheric Science or closely-related field and experience with Machine Learning/Artificial Intelligence
- Demonstrated interest and training in ethics and bias assessment/mitigation
- Experience with large spatiotemporal data sets
- Demonstrated experience of applying at least one machine learning or advanced statistical technique to an atmospheric-science-related problem
- Demonstrated curiosity, creativity, and enthusiasm to learn new skills
- Experience pursuing research, both independently and as part of a research team
- Experience with large atmospheric science data sets
- Experience with neural networks/deep learning
- Prior research studying atmospheric variability, extreme weather, or subseasonal-to-seasonal prediction
- Prior knowledge of a broad range of ML topics, as demonstrated by classes taken and/or research performed
- Prior experience collaborating across disciplines
The University of Oklahoma is an equal opportunity employer and welcomes applications from diverse candidates. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.
The successful candidate will be part of a dynamic and interdisciplinary team, working on cutting-edge research projects that have the potential to make a significant impact on the field of AI for Earth Science applications.
