Northeastern University's Roux Institute and the Institute for Experiential AI (IEAI) are seeking postdoctoral researchers to focus on AI for Climate and Sustainability (AI4CaS), aiming to develop AI solutions for challenges in weather prediction, climate model downscaling, human-centered AI for climate resilience, green communities, and renewable energy.
Requirements
- A Ph.D. in any aspects 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
- Project management experience
Responsibilities
- Hybrid Physics-AI for Short-term Weather and Hydrologic Prediction
- Physics-Guided AI for Climate or Earth System Model Downscaling
- Knowledge-Integrated Human-Centered AI for Climate Resilience
- AI as a tool 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.
- AI for Energy Storage Systems and Sustainable Renewable Energy, ranging 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.
Other
- Ability to work both independently and collaboratively towards common research goals.
- Establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.
- Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc.
- Comfortable navigating complex internal processes and structures.
- Respect for the importance of interdisciplinary teams.
