Assistant Professor in Data Science/AI of Extreme Events

Rutgers University is seeking an Assistant Professor in Data Science/AI for Extreme Events in New Brunswick, NJ. The role involves developing research on extreme weather impacts on ecology and biodiversity, teaching undergraduate and graduate courses, and mentoring students. Candidates need a PhD in a relevant field, postdoctoral experience, and a commitment to research and teaching. The position is full-time and offers competitive salary and professional development opportunities.
About the position

The Assistant Professor position in Data Science and AI for Extreme Events at Rutgers University-New Brunswick focuses on studying the impacts of extreme weather and climate events on ecology, evolution, and biodiversity. The successful candidate will develop a research program utilizing Earth systems data to understand and mitigate the effects of these events, while also contributing to teaching and mentoring at both undergraduate and graduate levels.

Responsibilities
• Develop an innovative, externally funded research program focused on extreme weather and climate events.
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• Utilize Earth systems data and models to understand the impacts of extreme events on ecological systems.
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• Teach undergraduate and graduate courses in ecology, environmental sciences, or meteorology/atmospheric science.
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• Mentor students in research and engage with the broader community.
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• Collaborate with faculty across various aspects of climate change scholarship.

Requirements
• PhD in a relevant field such as data science, atmospheric science, environmental sciences, or ecology.
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• Postdoctoral experience relevant to data science applications in atmospheric science or ecology.
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• Demonstrated ability to conduct research and engage in grantsmanship.
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• Experience teaching at the collegiate level.
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• Commitment to mentoring students.

Nice-to-haves
• Experience in climate change research and data science.
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• Background in ecology, evolution, or biodiversity studies.

Benefits
• Competitive salary commensurate with experience.
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• Opportunities for professional development and research funding.