The Antipodal Oceanography Group (APOG) is searching for up to 3 postdoctoral researchers to join efforts to understand polar change, emergent ecological variability, and the impact of climate on health and infrastructure.

The researchers will join a broad cohort of oceanographers (, remote sensing specialists, and climate scientists and fall broadly under polar oceanography, ecology, or human-climate interaction. Areas of focus could include:

  • Modeling and observing waves across the oceans and sea ice using high-resolution LES simulations and satellite products.

  • Developing ocean mixing parameterizations in polar regions using high-resolution coupled discrete element modeling approaches.

  • Remote sensing and modeling of phytoplankton blooms in the wake of tropical cyclones and under Antarctic sea ice.

  • Statistical and dynamical downscaling of Pacific climate variability to understand climate impacts on health for Pacific islands.

  • Analysis of high-resolution climate model data and attribution of climate extreme events using machine learning forecasts.

The APOG is a unique hybrid research group between Brown University and the University of Auckland. Researchers can relocate to either center or remain remote, with the expectation of at least two in-person meetings in New Zealand or the US per year. Information on our shared code of conduct and expectations can be found at

A broad team, with project collaborators in Norway, France, the US, and New Zealand, will support successful candidates. They will have leeway for scientific exploration and self-directed research, especially within the APOG cohort.

The position salary is $65,000 for two years, with the possibility of extension. Start dates can be as early as 7/1/23, though flexibility exists. Significant additional research, computing, and travel support are available to facilitate this work.

Please direct any questions to Christopher Horvat:

Applications (see below) can be sent to

Required Qualifications

  • A Ph.D. in Earth/Climate Science/Applied Mathematics/related fields or relevant work experience in geospatial data analysis.
  • Experience analyzing/interpreting/manipulating geophysical and model data.
  • An open mind: interested in multi-scale climate or ecological modeling, polar climate, and climate-human interactions.

Potentially positive skills/elements

  • Knowledge of ocean mixing parameterizations and coupled air-sea-ice processes.
  • A theoretical background in submesoscale GFD problems
  • Experience with CESM or NEMO modeling frameworks
  • Usage of remote sensing platforms, e.g., ICESat-2, MODIS, Sentinel
  • Experience with machine learning or downscaling techniques applied to geophysical data.

Application Instructions

Please send a CV, a 1-page cover letter describing your research and future interests, and contact information for three references to Please also include an example of research output (paper, thesis, technical report, etc.) that illustrates your research approach and skill.

Any applications received before June 30 will be considered together, and later applications will be considered as they arrive. Positions will remain open until filled. When applying, please indicate research topics of interest in your cover letter.