Postdoctoral Appointee

Found in: Talent US C2 - 1 week ago

Albuquerque, United States Sandia National Laboratories Full time

What Your Job Will Be Like:

We are seeking a postdoctoral appointee to perform research on energy storage analytics with a specialization in machine learning.

On any given day, you may be called on to:

Analyze energy storage applications Characterize energy storage test data Develop optimization algorithms to make energy storage decisions (e.g., sizing, location, dispatch, etc.) Apply machine learning techniques to optimize the use of energy storage for grid applications Publish research in conference and journal publications

Due to the nature of the work, the selected candidate must be able to work onsite at the Sandia Albuquerque location.

Qualifications We Require:

Ph.D. in Mathematics or a related field with a focus on energy applications and machine learning Coursework or experience with optimization methods and their application in electric power systems Coursework or experience with energy storage and grid applications

Qualifications We Desire:

Strong programming skills with scripting languages like Python, R, MATLAB, etc. Machine learning coursework or experience Database coursework or experience Demonstrated publication record Excellent verbal and written communication skills

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