Opportunities

The Eisaman Lab at Yale University is actively hiring postdoctoral research associates in all areas of ocean carbon dioxide removal (CDR), including but not limited to: the development of new models, protocols, sensors, and sensor networks for Measurement, Reporting, and Verification (MRV); new approaches to ocean CDR, especially those leveraging electrochemistry; effects on marine organisms; and hybrid approaches, especially the combination of ocean and geochemical CDR. Candidates should have a PhD in Earth & Planetary Sciences, Geochemistry, Chemistry, Physics, Chemical Engineering, Oceanography, or related discipline. To apply, email a cover letter, CV, Research Statement, and contact details for 3 references to matthew.eisaman@yale.edu. Review of applications will begin immediately and continue until the position is filled.

The Eisaman Lab at Yale University is seeking a highly motivated postdoctoral researcher to work on an interdisciplinary project at the intersection of ocean and climate modeling, machine learning, and artificial intelligence. The successful candidate will collaborate with an interdisciplinary team of oceanographers, climate scientists, and machine learning researchers to develop and apply novel machine learning techniques to improve simulations of the ocean and climate system. The goal of the research effort is to better quantify the uncertainty of ocean model forecasts used for the Measurement, Reporting, and Verification (MRV) of Ocean Alkalinity Enhancement (OAE) approaches to Carbon Dioxide Removal (CDR).

Key responsibilities

* Develop and implement machine learning algorithms to parameterize subgrid-scale processes in ocean and climate models

* Apply deep learning and other AI methods to emulate complex model parameterizations and accelerate climate simulations

* Analyze large datasets from ocean models, satellite observations, and field experiments using statistical and machine learning tools

* Identify relationships between model biases and uncertainties

* Publish research findings in leading journals

* Present results at scientific conferences

* Participate in the mentoring of graduate and undergraduate students

Requirements

* PhD in physical oceanography, climate science, computer science, machine learning and artificial intelligence, or related fields.

* Strong background in ocean and/or climate modeling. Experience with common community models (e.g. POP, MITgcm, CESM, etc.).

* Experience with climate and ocean modeling datasets (e.g., ECCO, GLODAP, etc.)

* Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, sklearn, etc.) and languages (Python, C)

* Knowledge of deep learning and neural networks, generative adversarial networks, time series predictive methods such as LSTMs, Bayesian machine learning methods, and statistical learning

* Excellent writing and oral communication skills

* Ability to work collaboratively in an interdisciplinary team

* Record of publishing high-impact journal papers

Preferred Qualifications

* Experience with Bayesian emulation and hierarchical models

* Experience with uncertainty quantification and bootstrapping or Markov Chain Monte Carlo (MCMC) methods

* Experience with or knowledge of operations research and optimization methods (e.g., convex optimization, nonlinear methods, integer programming, etc.) and associated tools such as Gurobi or Python packages like “or-tools”

* Knowledge of Physics-informed NN frameworks such as SimGAN or NVIDIA’s Modulus

* Programming experience in or ability to learn Fortran / C

Logistics

* This two-year postdoc position is available immediately. Competitive salary and benefits offered commensurate with experience. Our lab provides a dynamic, intellectually stimulating environment and opportunities for career development.

* To apply, email a cover letter, CV, research statement, and contact details for 3 references to matthew.eisaman@yale.edu. Review of applications will begin immediately and continue until the position is filled.

* Yale University Equal Opportunity Statement

The Eisaman Lab at Yale University is seeking a highly motivated postdoctoral researcher to work on an interdisciplinary project at the intersection of geochemistry, computational modeling, and carbon dioxide removal (CDR). The successful candidate will collaborate with an interdisciplinary team of geochemists, physicists, and climate scientists to develop and optimize techniques that enable durable gigaton-scale CO2 storage by enhancing the rate and capacity of CO2 mineralization.

The overall goal of the research effort is to understand, quantify, and optimize the potential for the acidic pretreatment and partial dissolution of basalt formations to enhance the speed and capacity of subsequent CO2 mineralization. Such pretreatment has the potential to facilitate gigaton-scale CO2 storage, but the acid-injection strategy must be carefully designed to avoid runaway instabilities that would negate the intended benefit.

Key responsibilities

* Develop a theoretical framework using semi-pedagogical modeling

* Perform 1D and 2D numerical experiments with existing finite volume code

* Build a 3D computational model of the process by expanding existing community-built tools

* Publish research findings in leading journals

* Present results at scientific conferences

* Participate in the mentoring of graduate and undergraduate students

Requirements

* PhD in geology, geophysics, geochemistry or related fields.

* Strong background in geochemical modeling and fluid mechanics. Experience with common community-built tools (e.g. OpenFOAM, GeoChemFoam, CrunchFlow etc.)

* Excellent writing and oral communication skills

* Ability to work collaboratively in an interdisciplinary team

* Record of publishing high-impact journal papers

Preferred Qualifications

* Experience with CO2 mineralization

* Experience with reactive transport modeling

Logistics

* This 2-year postdoc position is available starting immediately. Competitive salary and benefits offered commensurate with experience. Our lab provides a dynamic, intellectually stimulating environment and opportunities for career development.

* To apply, email a cover letter, CV, Research Statement, and contact details for 3 references to matthew.eisaman@yale.edu. Review of applications will begin immediately and continue until the position is filled.

* Yale University Equal Opportunity Statement