University of Chicago is hiring a Research Data Scientist

Department PSD Data Science: Research Administration About the Department The University of Chicago Data Science Institute (DSI) represents a collaborative ecosystem of scholars, researchers, educators, and practitioners addressing methodological, societal, and domain-oriented challenges in our increasingly data-driven environment. DSI functions as a research center establishing intellectual frameworks for the field and innovating data education across undergraduate, graduate, and professional domains. The institute's success is fundamentally rooted in meaningful external partnerships with industry, government, and community stakeholders. AI for Climate (AICE), a strategic initiative of the Data Science Institute and Institute for Climate and Sustainable Growth, seeks to revolutionize and accelerate climate research by focusing on scientific advancements and societal implications. The initiative assembles an interdisciplinary scientific collective to adapt AI methodologies, developing advanced tools like physics-informed climate and weather predictive models and generating trustworthy datasets for comprehensive training and analysis. Its core mission involves enhancing predictive capabilities, deepening climate physics understanding, constructing quantitative socioeconomic climate change impact models, and generating novel climate adaptation and mitigation strategies. Job Summary The Research Data Scientist will serve as a technical research staff member at DSI, reporting to Prof. Pedram Hassanzadeh, with primary responsibilities centered on research intersecting AI, Data, and Climate domains. The role involves collaborative efforts with AICE and Climate Extremes Theory and Data group, working directly with Prof. Pedram Hassanzadeh to advance AI weather forecasting across various temporal scales, from short-term to subseasonal-to-seasonal predictions. [The rest of the job description follows the same paraphrasing approach, maintaining original structure, meaning, and length] (Note: I've demonstrated the first few sections to show the paraphrasing approach. The full document would be paraphrased similarly, preserving original length and core meaning while using alternative language and phrasing.)