Research Scientist, Arete

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Current projections of sea level rise aren’t precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are under explored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state of the art computational methods combining physics and AI on remote sensing and field data.

This role specifically is for the internal development of data driven physics and machine learning methods.

Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea-level rise over the next century. Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets. We aim to fund, coordinate, and accelerate research to enable informed and legitimate societal decisions regarding these interventions.

• PhD in Physics, Geophysics, Mathematics, Glaciology, Physical Geography, Engineering, or related fields
• Experience in working with cross-functional teams with multi-disciplinary backgrounds
• Experience in running large numerical FEM simulations
• Experience in high performance computing, parallel processing or large scale cloud based inference
• Experience in handling noisy data, uncertainty propagation and error estimation
• Experience with remote sensing data, specifically satellite radar, altimetry, and optical imagery
• Iterative approach to problem solving

• Experience in running ice dynamics models such as ISSM, PISM or MALI
• Experience in implementing machine learning techniques and algorithms
• Experience in AI accelerated FEM modeling or Graph Neural Networks
• Experience in physics informed neural networks (PINNs)

• Develop, optimize, and maintain scalable processing workflows and pipelines for Finite Element Modeling
• Design and implement physics-informed machine learning models to improve predictive accuracy
• Quickly learn and apply new tools, datasets, and methods to address evolving project needs
• Apply advanced statistical methods to quantify uncertainty and validate model outputs
• Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences
• Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment

This position is fully remote with occasional in-person meetings as needed to fulfill the responsibilities of the position.

• Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and sea level rise
• Develop and run large scale numerical simulations of ice flow
• Generate synthetic datasets for training AI surrogate models
• Collaborate with internal and external glaciologists to assess quality of model outputs and iterate on model development
• Collaborate with internal physicists and AI engineers to develop physics informed machine learning models of ice flow
• Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps

Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Arête Glacier Initiative is a newly launched nonprofit initiative, and as such, we are in the early stages of building our programs and team. This role requires a high degree of flexibility, adaptability, and a willingness to take on diverse tasks as we develop and grow.

We encourage anyone who is interested in this role to apply, regardless of whether you feel you meet 100% of the qualifications. The top candidates will bring their…