Jobs:Job-01043
From CSDMS
USGS Position in Machine Learning for Water Science
USGS - Middleton, Wisconsin, United States
Apply before: 14 October 2019
Apply before: 14 October 2019
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Posting:
Position: Mathematical Statistician
Apply before: 14 October 2019
Apply online:
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The USGS water data science group in Middleton, Wisconsin is seeking applicants to the following permanent position for a Mathematical Statistician with expertise in machine learning. Background in water sciences is appreciated but not required. Please share this opportunity with any colleagues who might be interested.
https://www.usajobs.gov/GetJob/ViewDetails/547203300
Applications will be accepted October 1-14, 2019.
As a Mathematical Statistician within the Integrated Information Dissemination Division of the Data Science Branch, some of your specific duties will include:
- Researches existing machine learning techniques, and applies appropriate methods towards prediction.
- Applies deep learning frameworks (e.g., PyTorch, TensorFlow) to a variety of problems, including time-series modeling and outlier detection.
- Engages colleagues on hybrid modeling techniques, including efforts to combine theory and empirical (e.g., machine learning) models.
- Employs analytical, mathematical, and statistical theories and practices to design appropriate machine learning modeling approaches.
- Builds training, validation, and testing datasets in a robust and reproducible way to train models and evaluate model performance.
- Delivers model results in appropriate formats (e.g., reports, visuals, presentations, and structured output data).
- Conducts research as needed to support modeling studies and prepare written products to convey research-based knowledge and information to a variety of audiences.
- Writes code to automate model prep, execution, evaluation, and presentation of results.
Of interest for: Hydrology Focus Research Group
