Northeastern University
Location
Portland, ME | United States
Job description
Postdoctoral Research Fellow About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. The Culture Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Job Summary Northeastern University's Roux Institute and the Institute for Experiential AI (IEAI) are seeking applications and nominations for postdoctoral researchers based at Roux in Portland, Maine, USA. The selected researchers will be aligned with the AI for Climate and Sustainability (AI4CaS) focus area within IEAI and will get an opportunity to work closely with one or more faculty and with the private-public-government sector experiential partners. The cohort expects to fund up to five postdoctoral researchers in knowledge-centric and human-focused AI. The five thematic areas, as well as the core hiring and mentoring committee, are described below. Themes: The cohort of five is envisaged to comprise hires in the following five thematic areas: 1. Theme 1 ('Nowcasting'): Hybrid Physics-AI for Short-term Weather and Hydrologic Prediction Skillful predictions of weather and hydrology in the short-term (few hours to a few days) are difficult owing to model and data limitations, the importance of extremes and anomalies, as well as the need to appropriately blend physics with AI. 2. Theme 2 ('Downscaling'): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from human and natural systems as well as intrinsic variability. The need to translate to variables and scales relevant for stakeholders with appropriate uncertainty quantification requires physics-guided AI. 3. Theme 3 ('Human AI'): Knowledge-Integrated Human-Centered AI for Climate Resilience AI and data science systems that are guided by human knowledge or help guide models can generate insights and metrics from massive volumes of complex data obtained from model simulations and/or remote and in-situ data. Stakeholder knowledge, such as, of cascading interdependence, can ground the models through knowledge graphs, rules, and process understanding, with implications across sectors from ecology to infrastructure. 4. Theme 4 ('Communities'): Green and Resilient Communities and Entrepreneurship Communities ranging from microspatial neighborhood or street levels to the scale of villages, towns, and cities, all the way to megaregions, continents, and the globe, need an entrepreneurial mindset, often with AI as one tool of choice, for targeted or frugal innovations to ensure resilience to compound extremes, assure clean water or air, prevent cascading failures across interconnected systems, and adapt to or mitigate global change. 5. Theme 5 ('Renewables'): Energy Storage Systems and Sustainable Renewable Energy Energy storage systems and renewable energy infrastructures are critical for anticipating, preparing for, and mitigating weather and hydrological extremes, as well as to develop effective decarbonization strategies. The possible role of AI ranges from predictive models of solar insolation and wind variables to understanding and monitoring the water and carbon cycle, as well as for developing actionable strategies and scenario plans. GENERAL MINIMUM QUALIFICATIONS, VALUES & ABILITIES NEEDED FOR THIS ROLE A Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes) and demonstrated interest and background in AI/ML and/or data sciences, OR , a PhD degree in AI/ML and/or data sciences and demonstrated interest and background in climate and/or sustainability sciences and engineering before the appointment start date A record of outstanding research during the Ph.D., as evidenced by publications, grants, software outputs, and other scholarly measures of impact. Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are pluses. Values & Abilities:About Northeastern University
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.
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