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University of Utah Financial Services · 4 months ago

Assistant/Associate Professor in AI for Environmental Modeling/Forecasting

Salt Lake City, UT

Full-time

Onsite

Senior Level

The University of Utah is a Carnegie Research I Institution focusing on addressing environmental challenges through AI. The role involves developing a research program in climate modeling and forecasting, collaborating with other departments, and engaging in teaching and mentorship activities.

Financial Services

Responsibilities

Developing and maintaining an ongoing program of scholarly research that involves computational methods and visualization for application within climate modeling and forecasting

Developing meaningful collaboration with faculty in SCI , one of the aforementioned home departments, and other academic departments and research centers (e.g., Wilkes Center for Climate Science and Policy, the NSF WIRED Global Center and the Global Change and Sustainability Center), as applicable, to promote the integration of AI

Meeting the teaching requirements in the candidate’s chosen academic department

Engaging as a member of the SCI Institute faculty

Training and mentoring undergraduate and graduate students

Developing and submitting research funding proposals to national agencies and foundations

Developing partnerships, and commercialization opportunities to drive excellence and innovation in AI-enhanced research

Conducting and publishing rigorous research topics aligned with climate impacts forecasting

Collaborating in transdisciplinary teams to evaluate and improve AI design, development, and use in climate impacts forecasting

Promoting responsible AI by incorporating responsible AI principles and applications

Developing and sharing AI data and tools

Securing funding, partnerships, and commercialization opportunities to drive excellence and innovation in AI-enhanced research

Sharing expertise in translational responsible AI through speaking engagements, including those hosted by the One-U RAI

Participating in monthly cluster-related team building and research activities; and

Participating in faculty governance at the department, college, and university levels

Qualification

Doctoral degreeAI application experienceResearch funding abilityInterdisciplinary researchResponsible AI practicesTeaching excellenceEthical AI evaluationMentorship

Required

A doctoral degree in environmental or climate science, environmental studies, environmental engineering, applied math, geological science, geography, urban planning, computational science, or related fields is required by July 1, 2026

Record of or demonstrated interest in interdisciplinary research and collaboration

Experience in the application of AI in the relevant thematic area(s)

Excellence in teaching and mentorship

Demonstrated ability to secure research funding and manage research projects

Demonstrated commitment to responsible and ethical AI practices

Expertise in evaluating the ethical implications of AI in the relevant thematic area(s)