Machine Learning Post Masters Fellow
Los Alamos, New Mexico, USA
Los Alamos National Laboratory
We are looking for a Post Masters Fellow to work at the Los Alamos National Lab alongside a dynamic team focusing on streamflow and flood predictions using machine learning.
We seek someone interested in developing and applying machine learning techniques to pressing problems related to water security. In particular, your research will include:
- Building machine learning models (e.g. LSTMs, Transformers) for streamflow and flood prediction
- Incorporating novel data sources to capture human impacts on watersheds and directly to rivers into your models
- Exploring techniques for building models that incorporate known physical principles
- Developing and deploying methods for understanding what your models learned
For more information, please see the job ad: https://lanl.jobs/search/jobdetails/machine-learning-post-masters-fellow/9703339b-2725-4e3d-b898-84e7aa31d55d.