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Postdoctoral Research Fellow

Job in Portland, Cumberland County, Maine, 04122, USA
Listing for: Northeastern University
Full Time position
Listed on 2026-02-15
Job specializations:
  • Software Development
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 50000 - 70000 USD Yearly USD 50000.00 70000.00 YEAR
Job Description & How to Apply Below
.
** About the Opportunity**# About the Institute 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 (AI4

CaS) 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 mega regions, 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…
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