Full-Time

Postdoctoral Researcher in Antarctic Ice Sheet Observations and Modeling

Posted on 8/23/2025

Pennsylvania State University

Pennsylvania State University

No salary listed

Company Does Not Provide H1B Sponsorship

State College, PA, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
Scikit-learn
Python
Jupyter
Tensorflow
Pytorch
Machine Learning
Requirements
  • Ph.D. in Glaciology, Geophysics, Geography, Earth System Science or related field by start date.
  • Expertise in remote sensing (Landsat, Sentinel-1, Sentinel-2, ICESat-2) and open-source machine learning toolkits (scikit-learn, TensorFlow, PyTorch).
  • Experience with reanalysis datasets and ice sheet and/or climate models.
  • Proficiency in Python, Jupyter Notebooks, and high-performance computing.
  • Publication record and excellent communication skills.
Responsibilities
  • Lead development and application of remote sensing and other machine learning workflows for supraglacial water mapping and depth retrieval.
  • Implement established protocols to estimate supraglacial lake depths from satellite multispectral and ICESat-2 data.
  • Configure and run a firn densification model emulator using climate model outputs.
  • Generate datasets necessary to implement ISMIP7 ice shelf collapse protocol.
  • Perform sensitivity analyses, evaluate model outputs, and estimate hydrofracture potential.
  • Write manuscripts, present at conferences, and mentor students in data-driven cryosphere research.
Desired Qualifications
  • Research experience related to ice sheet surface mass balance and hydrology.
  • Familiarity with ice sheet models and intercomparison projects (e.g., ISMIP6, ISMIP7).
  • Experience with collaborative multi-institution research.
Pennsylvania State University

Pennsylvania State University

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